annotate python/prediction.py @ 943:b1e8453c207c

work on motion prediction using motion patterns
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 19 Jul 2017 18:02:38 -0400
parents ab13aaf41432
children 84ebe1b031f1
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1 #! /usr/bin/env python
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2 '''Library for motion prediction methods'''
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4 import moving
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5 from utils import LCSS
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6
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7 import math, random
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8 import numpy as np
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9 from multiprocessing import Pool
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12 class PredictedTrajectory(object):
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13 '''Class for predicted trajectories with lazy evaluation
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14 if the predicted position has not been already computed, compute it
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16 it should also have a probability'''
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17
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18 def __init__(self):
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19 self.probability = 0.
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20 self.predictedPositions = {}
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21 self.predictedSpeedOrientations = {}
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22 #self.collisionPoints = {}
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23 #self.crossingZones = {}
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24
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25 def predictPosition(self, nTimeSteps):
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26 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys():
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27 self.predictPosition(nTimeSteps-1)
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28 self.predictedPositions[nTimeSteps], self.predictedSpeedOrientations[nTimeSteps] = moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], self.getControl(), self.maxSpeed)
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29 return self.predictedPositions[nTimeSteps]
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30
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31 def getPredictedTrajectory(self):
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32 return moving.Trajectory.fromPointList(self.predictedPositions.values())
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33
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34 def getPredictedSpeeds(self):
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35 return [so.norm for so in self.predictedSpeedOrientations.values()]
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36
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37 def plot(self, options = '', withOrigin = False, timeStep = 1, **kwargs):
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38 self.getPredictedTrajectory().plot(options, withOrigin, timeStep, **kwargs)
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40 class PredictedTrajectoryConstant(PredictedTrajectory):
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41 '''Predicted trajectory at constant speed or acceleration
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42 TODO generalize by passing a series of velocities/accelerations'''
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43
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44 def __init__(self, initialPosition, initialVelocity, control = moving.NormAngle(0,0), probability = 1., maxSpeed = None):
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45 self.control = control
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46 self.maxSpeed = maxSpeed
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47 self.probability = probability
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48 self.predictedPositions = {0: initialPosition}
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49 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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50
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51 def getControl(self):
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52 return self.control
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53
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54 class PredictedTrajectoryPrototype(PredictedTrajectory):
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55 '''Predicted trajectory that follows a prototype trajectory
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56 The prototype is in the format of a moving.Trajectory: it could be
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57 1. an observed trajectory (extracted from video)
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58 2. a generic polyline (eg the road centerline) that a vehicle is supposed to follow
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59
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60 Prediction can be done
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61 1. at constant speed (the instantaneous user speed)
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62 2. following the trajectory path, at the speed of the user
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63 (applying a constant ratio equal
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64 to the ratio of the user instantaneous speed and the trajectory closest speed)'''
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65
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66 def __init__(self, initialPosition, initialVelocity, prototype, constantSpeed = False, probability = 1.):
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67 ''' prototype is a MovingObject
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68
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69 Prediction at constant speed will not work for unrealistic trajectories
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70 that do not follow a slowly changing velocity (eg moving object trajectories,
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71 but is good for realistic motion (eg features)'''
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72 self.prototype = prototype
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73 self.constantSpeed = constantSpeed
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74 self.probability = probability
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75 self.predictedPositions = {0: initialPosition}
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76 self.closestPointIdx = prototype.getPositions().getClosestPoint(initialPosition)
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77 self.deltaPosition = initialPosition-prototype.getPositionAt(self.closestPointIdx)
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78 self.initialSpeed = initialVelocity.norm2()
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79 if not constantSpeed:
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80 self.ratio = self.initialSpeed/prototype.getVelocityAt(self.closestPointIdx).norm2()
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81
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82 def predictPosition(self, nTimeSteps):
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83 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys():
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84 if self.constantSpeed:
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85 traj = self.prototype.getPositions()
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86 trajLength = traj.length()
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87 traveledDistance = nTimeSteps*self.initialSpeed + traj.getCumulativeDistance(self.closestPointIdx)
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88 i = self.closestPointIdx
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89 while i < trajLength and traj.getCumulativeDistance(i) < traveledDistance:
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90 i += 1
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91 if i == trajLength:
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92 v = self.prototype.getVelocityAt(-1)
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93 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i-1]+v*((traveledDistance-traj.getCumulativeDistance(i-1))/v.norm2())
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94 else:
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95 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i-1]+(traj[i]-traj[i-1])*((traveledDistance-traj.getCumulativeDistance(i-1))/traj.getDistance(i-1))
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96 else:
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97 traj = self.prototype.getPositions()
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98 trajLength = traj.length()
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99 nSteps = self.ratio*nTimeSteps+self.closestPointIdx
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100 i = int(np.floor(nSteps))
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101 if nSteps < trajLength-1:
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102 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i]+(traj[i+1]-traj[i])*(nSteps-i)
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103 else:
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104 v = self.prototype.getVelocityAt(-1)
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105 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[-1]+v*(nSteps-trajLength+1)
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106 return self.predictedPositions[nTimeSteps]
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107
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108 class PredictedTrajectoryRandomControl(PredictedTrajectory):
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109 '''Random vehicle control: suitable for normal adaptation'''
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110 def __init__(self, initialPosition, initialVelocity, accelerationDistribution, steeringDistribution, probability = 1., maxSpeed = None):
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111 '''Constructor
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112 accelerationDistribution and steeringDistribution are distributions
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113 that return random numbers drawn from them'''
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114 self.accelerationDistribution = accelerationDistribution
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115 self.steeringDistribution = steeringDistribution
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116 self.maxSpeed = maxSpeed
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117 self.probability = probability
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118 self.predictedPositions = {0: initialPosition}
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119 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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120
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121 def getControl(self):
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122 return moving.NormAngle(self.accelerationDistribution(),self.steeringDistribution())
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123
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124 class SafetyPoint(moving.Point):
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125 '''Can represent a collision point or crossing zone
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126 with respective safety indicator, TTC or pPET'''
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127 def __init__(self, p, probability = 1., indicator = -1):
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128 self.x = p.x
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129 self.y = p.y
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130 self.probability = probability
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131 self.indicator = indicator
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132
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133 def __str__(self):
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134 return '{0} {1} {2} {3}'.format(self.x, self.y, self.probability, self.indicator)
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135
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136 @staticmethod
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137 def save(out, points, predictionInstant, objNum1, objNum2):
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138 for p in points:
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139 out.write('{0} {1} {2} {3}\n'.format(objNum1, objNum2, predictionInstant, p))
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140
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141 @staticmethod
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142 def computeExpectedIndicator(points):
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143 return np.sum([p.indicator*p.probability for p in points])/sum([p.probability for p in points])
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144
358
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145 def computeCollisionTime(predictedTrajectory1, predictedTrajectory2, collisionDistanceThreshold, timeHorizon):
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146 '''Computes the first instant
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147 at which two predicted trajectories are within some distance threshold
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148 Computes all the times including timeHorizon
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149
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150 User has to check the first variable collision to know about a collision'''
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151 t = 1
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152 p1 = predictedTrajectory1.predictPosition(t)
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153 p2 = predictedTrajectory2.predictPosition(t)
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154 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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155 while t < timeHorizon and not collision:
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156 t += 1
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157 p1 = predictedTrajectory1.predictPosition(t)
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158 p2 = predictedTrajectory2.predictPosition(t)
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159 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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160 return collision, t, p1, p2
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161
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162 def savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon):
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163 from matplotlib.pyplot import figure, axis, title, clf, savefig
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164 figure()
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165 #clf()
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166 for et in predictedTrajectories1:
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167 et.predictPosition(int(np.round(timeHorizon)))
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168 et.plot('rx')
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169
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170 for et in predictedTrajectories2:
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171 et.predictPosition(int(np.round(timeHorizon)))
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172 et.plot('bx')
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173 obj1.plot('r', withOrigin = True)
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174 obj2.plot('b', withOrigin = True)
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175 title('instant {0}'.format(currentInstant))
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176 axis('equal')
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177 savefig('predicted-trajectories-t-{0}.png'.format(currentInstant))
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178
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179 def calculateProbability(nMatching,similarity,objects):
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180 sumFrequencies=sum([nMatching[p] for p in similarity.keys()])
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181 prototypeProbability={}
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182 for i in similarity.keys():
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183 prototypeProbability[i]= similarity[i] * float(nMatching[i])/sumFrequencies
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184 sumProbabilities= sum([prototypeProbability[p] for p in prototypeProbability.keys()])
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185 probabilities={}
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186 for i in prototypeProbability.keys():
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187 probabilities[objects[i]]= float(prototypeProbability[i])/sumProbabilities
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188 return probabilities
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189
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190 def findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,spatialThreshold=1.0, delta=180):
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191 ''' behaviour prediction first step'''
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192 if route[0] not in noiseEntryNums:
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193 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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194 elif route[1] not in noiseExitNums:
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195 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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196 else:
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197 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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198 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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199 similarity={}
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200 for y in prototypesRoutes:
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201 if y in prototypes.keys():
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202 prototypesIDs=prototypes[y]
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203 for x in prototypesIDs:
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204 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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205 if s >= minSimilarity:
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206 similarity[x]=s
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207
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208 if mostMatched==None:
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209 probabilities= calculateProbability(nMatching,similarity,objects)
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210 return probabilities
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211 else:
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212 mostMatchedValues=sorted(similarity.values(),reverse=True)[:mostMatched]
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213 keys=[k for k in similarity.keys() if similarity[k] in mostMatchedValues]
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214 newSimilarity={}
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215 for i in keys:
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216 newSimilarity[i]=similarity[i]
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217 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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218 return probabilities
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219
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220 def findPrototypesSpeed(prototypes,secondStepPrototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,useDestination=True,spatialThreshold=1.0, delta=180):
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221 if useDestination:
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222 prototypesRoutes=[route]
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223 else:
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224 if route[0] not in noiseEntryNums:
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225 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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226 elif route[1] not in noiseExitNums:
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227 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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228 else:
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229 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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230 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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231 similarity={}
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232 for y in prototypesRoutes:
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233 if y in prototypes.keys():
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234 prototypesIDs=prototypes[y]
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235 for x in prototypesIDs:
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236 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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237 if s >= minSimilarity:
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238 similarity[x]=s
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239
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240 newSimilarity={}
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241 for i in similarity.keys():
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242 if i in secondStepPrototypes.keys():
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243 for j in secondStepPrototypes[i]:
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244 newSimilarity[j]=similarity[i]
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245 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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246 return probabilities
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247
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248 def getPrototypeTrajectory(obj,route,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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249 partialInterval=moving.Interval(obj.getFirstInstant(),currentInstant)
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250 partialObjPositions= obj.getObjectInTimeInterval(partialInterval).positions
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251 if useSpeedPrototype:
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252 prototypeTrajectories=findPrototypesSpeed(prototypes,secondStepPrototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination)
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253 else:
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254 prototypeTrajectories=findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched)
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255 return prototypeTrajectories
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256
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257 def computeCrossingsCollisionsAtInstant(predictionParams,currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False):#, usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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258 '''returns the lists of collision points and crossing zones'''
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259 # if usePrototypes:
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260 # prototypeTrajectories1 = getPrototypeTrajectory(obj1,route1,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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261 # prototypeTrajectories2 = getPrototypeTrajectory(obj2,route2,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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262 # predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant,prototypeTrajectories1)
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263 # predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant,prototypeTrajectories2)
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264 # else:
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265 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant)
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266 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant)
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267
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268 collisionPoints = []
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269 crossingZones = []
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270 for et1 in predictedTrajectories1:
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271 for et2 in predictedTrajectories2:
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272 collision, t, p1, p2 = computeCollisionTime(et1, et2, collisionDistanceThreshold, timeHorizon)
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273 if collision:
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274 collisionPoints.append(SafetyPoint((p1+p2)*0.5, et1.probability*et2.probability, t))
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275 elif computeCZ: # check if there is a crossing zone
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276 # TODO? zone should be around the points at which the traj are the closest
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277 # look for CZ at different times, otherwise it would be a collision
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278 # an approximation would be to look for close points at different times, ie the complementary of collision points
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279 cz = None
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280 t1 = 0
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281 while not cz and t1 < timeHorizon: # t1 <= timeHorizon-1
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282 t2 = 0
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283 while not cz and t2 < timeHorizon:
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284 #if (et1.predictPosition(t1)-et2.predictPosition(t2)).norm2() < collisionDistanceThreshold:
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285 # cz = (et1.predictPosition(t1)+et2.predictPosition(t2)).multiply(0.5)
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286 cz = moving.segmentIntersection(et1.predictPosition(t1), et1.predictPosition(t1+1), et2.predictPosition(t2), et2.predictPosition(t2+1))
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287 if cz is not None:
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288 deltaV= (et1.predictPosition(t1)- et1.predictPosition(t1+1) - et2.predictPosition(t2)+ et2.predictPosition(t2+1)).norm2()
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289 crossingZones.append(SafetyPoint(cz, et1.probability*et2.probability, abs(t1-t2)-(float(collisionDistanceThreshold)/deltaV)))
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290 t2 += 1
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291 t1 += 1
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292
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293 if debug:
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294 savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon)
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295
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296 return currentInstant, collisionPoints, crossingZones
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297
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298
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299 class PredictionParameters(object):
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300 def __init__(self, name, maxSpeed):
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301 self.name = name
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302 self.maxSpeed = maxSpeed
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303
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304 def __str__(self):
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305 return '{0} {1}'.format(self.name, self.maxSpeed)
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306
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307 def generatePredictedTrajectories(self, obj, instant):
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308 return []
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309
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310 # def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False):#,usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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311 # return computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug)#,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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312
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313 def computeCrossingsCollisions(self, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, timeInterval = None, nProcesses = 1):#,usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True,acceptPartialLength=30, step=1):
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314 #def computeCrossingsCollisions(predictionParams, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, timeInterval = None,nProcesses = 1, usePrototypes = False,route1= (-1,-1),route2=(-1,-1),prototypes={},secondStepPrototypes={},nMatching={},objects=[],noiseEntryNums=[],noiseExitNums=[],minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True,acceptPartialLength=30, step=1):
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315 '''Computes all crossing and collision points at each common instant for two road users. '''
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316 collisionPoints={}
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317 crossingZones={}
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318 if timeInterval:
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319 commonTimeInterval = timeInterval
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320 else:
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321 commonTimeInterval = obj1.commonTimeInterval(obj2)
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322 if nProcesses == 1:
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323 # if usePrototypes:
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324 # firstInstant= next( (x for x in xrange(commonTimeInterval.first,commonTimeInterval.last) if x-obj1.getFirstInstant() >= acceptPartialLength and x-obj2.getFirstInstant() >= acceptPartialLength), commonTimeInterval.last)
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325 # commonTimeIntervalList1= range(firstInstant,commonTimeInterval.last-1) # do not look at the 1 last position/velocities, often with errors
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326 # commonTimeIntervalList2= range(firstInstant,commonTimeInterval.last-1,step) # do not look at the 1 last position/velocities, often with errors
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327 # for i in commonTimeIntervalList2:
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328 # i, cp, cz = self.computeCrossingsCollisionsAtInstant(i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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329 # if len(cp) != 0:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
330 # collisionPoints[i] = cp
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
331 # if len(cz) != 0:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
332 # crossingZones[i] = cz
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
333 # if collisionPoints!={} or crossingZones!={}:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
334 # for i in commonTimeIntervalList1:
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
335 # if i not in commonTimeIntervalList2:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
336 # i, cp, cz = self.computeCrossingsCollisionsAtInstant(i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
337 # if len(cp) != 0:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
338 # collisionPoints[i] = cp
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
339 # if len(cz) != 0:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
340 # crossingZones[i] = cz
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
341 # else:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
342 for i in list(commonTimeInterval)[:-1]: # do not look at the 1 last position/velocities, often with errors
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
343 i, cp, cz = computeCrossingsCollisionsAtInstant(self, i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug)#,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
344 if len(cp) != 0:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
345 collisionPoints[i] = cp
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
346 if len(cz) != 0:
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
347 crossingZones[i] = cz
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
348 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
349 pool = Pool(processes = nProcesses)
943
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parents: 942
diff changeset
350 jobs = [pool.apply_async(computeCrossingsCollisionsAtInstant, args = (self, i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug)) for i in list(commonTimeInterval)[:-1]] #,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
351 #results = [j.get() for j in jobs]
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
352 #results.sort()
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
353 for j in jobs:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
354 i, cp, cz = j.get()
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
355 #if len(cp) != 0 or len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
356 if len(cp) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
357 collisionPoints[i] = cp
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
358 if len(cz) != 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
359 crossingZones[i] = cz
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
360 pool.close()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
361 return collisionPoints, crossingZones
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
362 #return computeCrossingsCollisions(self, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug, timeInterval, nProcesses,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype,acceptPartialLength, step)
358
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
363
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
364 def computeCollisionProbability(self, obj1, obj2, collisionDistanceThreshold, timeHorizon, debug = False, timeInterval = None):
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
365 '''Computes only collision probabilities
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
366 Returns for each instant the collision probability and number of samples drawn'''
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
367 collisionProbabilities = {}
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
368 if timeInterval:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
369 commonTimeInterval = timeInterval
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
370 else:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
371 commonTimeInterval = obj1.commonTimeInterval(obj2)
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
372 for i in list(commonTimeInterval)[:-1]:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
373 nCollisions = 0
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
374 predictedTrajectories1 = self.generatePredictedTrajectories(obj1, i)
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
375 predictedTrajectories2 = self.generatePredictedTrajectories(obj2, i)
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
376 for et1 in predictedTrajectories1:
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
377 for et2 in predictedTrajectories2:
662
72174e66aba5 corrected bug that increased TTC by 1 frame and structure to store collision points and crossing zones
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 661
diff changeset
378 collision, t, p1, p2 = computeCollisionTime(et1, et2, collisionDistanceThreshold, timeHorizon)
72174e66aba5 corrected bug that increased TTC by 1 frame and structure to store collision points and crossing zones
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 661
diff changeset
379 if collision:
358
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
380 nCollisions += 1
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
381 # take into account probabilities ??
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
382 nSamples = float(len(predictedTrajectories1)*len(predictedTrajectories2))
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
383 collisionProbabilities[i] = [nSamples, float(nCollisions)/nSamples]
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
384
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
385 if debug:
557
b91f33e098ee refactored some more code in compute crossing and collisions (parallel code works)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 556
diff changeset
386 savePredictedTrajectoriesFigure(i, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon)
358
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
387
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
388 return collisionProbabilities
c41ff9f3c263 moved current method for collision points and crossing zones computation into prediction parameters (put expectedindicator in SafetyPoint)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 357
diff changeset
389
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
390 class ConstantPredictionParameters(PredictionParameters):
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
391 def __init__(self, maxSpeed):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
392 PredictionParameters.__init__(self, 'constant velocity', maxSpeed)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
393
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
394 def generatePredictedTrajectories(self, obj, instant):
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
395 return [PredictedTrajectoryConstant(obj.getPositionAtInstant(instant), obj.getVelocityAtInstant(instant), maxSpeed = self.maxSpeed)]
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
396
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
397 class NormalAdaptationPredictionParameters(PredictionParameters):
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
398 def __init__(self, maxSpeed, nPredictedTrajectories, accelerationDistribution, steeringDistribution, useFeatures = False):
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
399 '''An example of acceleration and steering distributions is
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
400 lambda: random.triangular(-self.maxAcceleration, self.maxAcceleration, 0.)
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
401 '''
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
402 if useFeatures:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
403 name = 'point set normal adaptation'
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
404 else:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
405 name = 'normal adaptation'
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
406 PredictionParameters.__init__(self, name, maxSpeed)
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
407 self.nPredictedTrajectories = nPredictedTrajectories
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
408 self.useFeatures = useFeatures
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
409 self.accelerationDistribution = accelerationDistribution
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
410 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
411
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
412 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
413 return PredictionParameters.__str__(self)+' {0} {1} {2}'.format(self.nPredictedTrajectories,
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
414 self.maxAcceleration,
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
415 self.maxSteering)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
416
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
417 def generatePredictedTrajectories(self, obj, instant):
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
418 predictedTrajectories = []
860
07c5eab11eba fixing bug, thanks to Ryan Louie <Ryan.Louie@students.olin.edu>
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 826
diff changeset
419 if self.useFeatures and obj.hasFeatures():
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
420 features = [f for f in obj.getFeatures() if f.existsAtInstant(instant)]
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
421 positions = [f.getPositionAtInstant(instant) for f in features]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
422 velocities = [f.getVelocityAtInstant(instant) for f in features]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
423 else:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
424 positions = [obj.getPositionAtInstant(instant)]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
425 velocities = [obj.getVelocityAtInstant(instant)]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
426 probability = 1./float(len(positions)*self.nPredictedTrajectories)
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
427 for i in xrange(self.nPredictedTrajectories):
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
428 for initialPosition,initialVelocity in zip(positions, velocities):
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
429 predictedTrajectories.append(PredictedTrajectoryRandomControl(initialPosition,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
430 initialVelocity,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
431 self.accelerationDistribution,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
432 self.steeringDistribution,
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
433 probability,
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
434 maxSpeed = self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
435 return predictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
436
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
437 class PointSetPredictionParameters(PredictionParameters):
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
438 def __init__(self, maxSpeed):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
439 PredictionParameters.__init__(self, 'point set', maxSpeed)
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
440 #self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
441
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
442 def generatePredictedTrajectories(self, obj, instant):
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
443 predictedTrajectories = []
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
444 if obj.hasFeatures():
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
445 features = [f for f in obj.getFeatures() if f.existsAtInstant(instant)]
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
446 positions = [f.getPositionAtInstant(instant) for f in features]
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
447 velocities = [f.getVelocityAtInstant(instant) for f in features]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
448 probability = 1./float(len(positions))
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
449 for initialPosition,initialVelocity in zip(positions, velocities):
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
450 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition, initialVelocity, probability = probability, maxSpeed = self.maxSpeed))
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
451 return predictedTrajectories
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
452 else:
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
453 print('Object {} has no features'.format(obj.getNum()))
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
454 return None
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
455
943
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
456
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
457 class EvasiveActionPredictionParameters(PredictionParameters):
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
458 def __init__(self, maxSpeed, nPredictedTrajectories, accelerationDistribution, steeringDistribution, useFeatures = False):
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
459 '''Suggested acceleration distribution may not be symmetric, eg
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
460 lambda: random.triangular(self.minAcceleration, self.maxAcceleration, 0.)'''
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
461
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
462 if useFeatures:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
463 name = 'point set evasive action'
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
464 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
465 name = 'evasive action'
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
466 PredictionParameters.__init__(self, name, maxSpeed)
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
467 self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
468 self.useFeatures = useFeatures
460
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
469 self.accelerationDistribution = accelerationDistribution
55b424d98b68 change of interface, distributions are now passed to the prediction paramters constructors if needed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 387
diff changeset
470 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
471
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
472 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
473 return PredictionParameters.__str__(self)+' {0} {1} {2} {3}'.format(self.nPredictedTrajectories, self.minAcceleration, self.maxAcceleration, self.maxSteering)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
474
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
475 def generatePredictedTrajectories(self, obj, instant):
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
476 predictedTrajectories = []
661
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
477 if self.useFeatures and obj.hasFeatures():
dc70d9e711f5 some method name change and new methods for features in objects (MovingObject) and methods to access indicator values in interactions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 651
diff changeset
478 features = [f for f in obj.getFeatures() if f.existsAtInstant(instant)]
267
32e88b513f5c added code to compute probability of collision
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 266
diff changeset
479 positions = [f.getPositionAtInstant(instant) for f in features]
32e88b513f5c added code to compute probability of collision
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 266
diff changeset
480 velocities = [f.getVelocityAtInstant(instant) for f in features]
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
481 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
482 positions = [obj.getPositionAtInstant(instant)]
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
483 velocities = [obj.getVelocityAtInstant(instant)]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
484 probability = 1./float(self.nPredictedTrajectories)
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
485 for i in xrange(self.nPredictedTrajectories):
267
32e88b513f5c added code to compute probability of collision
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 266
diff changeset
486 for initialPosition,initialVelocity in zip(positions, velocities):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
487 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition,
350
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
488 initialVelocity,
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
489 moving.NormAngle(self.accelerationDistribution(),
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
490 self.steeringDistribution()),
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
491 probability,
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
492 self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
493 return predictedTrajectories
257
9281878ff19e untested collision/crossing computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 256
diff changeset
494
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
495
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
496 class CVDirectPredictionParameters(PredictionParameters):
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
497 '''Prediction parameters of prediction at constant velocity
698
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
498 using direct computation of the intersecting point
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
499 Warning: the computed time to collision may be higher than timeHorizon (not used)'''
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
500
387
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
501 def __init__(self):
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
502 PredictionParameters.__init__(self, 'constant velocity (direct computation)', None)
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
503
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
504 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, *kwargs):
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
505 collisionPoints = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
506 crossingZones = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
507
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
508 p1 = obj1.getPositionAtInstant(currentInstant)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
509 p2 = obj2.getPositionAtInstant(currentInstant)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
510 if (p1-p2).norm2() <= collisionDistanceThreshold:
940
d8ab183a7351 verified motion prediction with prototypes at constant speed (test needed)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 939
diff changeset
511 collisionPoints = [SafetyPoint((p1+p1)*0.5, 1., 0.)]
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
512 else:
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
513 v1 = obj1.getVelocityAtInstant(currentInstant)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
514 v2 = obj2.getVelocityAtInstant(currentInstant)
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
515 intersection = moving.intersection(p1, p1+v1, p2, p2+v2)
258
d90be3c02267 reasonably efficient computation of collision points and crossing zones
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 257
diff changeset
516
636
3058e00887bc removed all issues because of tests with None, using is instead of == or !=
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 630
diff changeset
517 if intersection is not None:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
518 dp1 = intersection-p1
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
519 dp2 = intersection-p2
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
520 dot1 = moving.Point.dot(dp1, v1)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
521 dot2 = moving.Point.dot(dp2, v2)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
522 #print dot1, dot2
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
523 # (computeCZ and (dot1 > 0 or dot2 > 0)) or (
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
524 if (computeCZ and (dot1 > 0 or dot2 > 0)) or (dot1 > 0 and dot2 > 0): # if the road users are moving towards the intersection or if computing pPET
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
525 dist1 = dp1.norm2()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
526 dist2 = dp2.norm2()
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
527 s1 = math.copysign(v1.norm2(), dot1)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
528 s2 = math.copysign(v2.norm2(), dot2)
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
529 halfCollisionDistanceThreshold = collisionDistanceThreshold/2.
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
530 timeInterval1 = moving.TimeInterval(max(0,dist1-halfCollisionDistanceThreshold)/s1, (dist1+halfCollisionDistanceThreshold)/s1)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
531 timeInterval2 = moving.TimeInterval(max(0,dist2-halfCollisionDistanceThreshold)/s2, (dist2+halfCollisionDistanceThreshold)/s2)
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
532 collisionTimeInterval = moving.TimeInterval.intersection(timeInterval1, timeInterval2)
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
533
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
534 if collisionTimeInterval.empty():
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
535 if computeCZ:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
536 crossingZones = [SafetyPoint(intersection, 1., timeInterval1.distance(timeInterval2))]
387
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
537 else:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
538 collisionPoints = [SafetyPoint(intersection, 1., collisionTimeInterval.center())]
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
539
636
3058e00887bc removed all issues because of tests with None, using is instead of == or !=
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 630
diff changeset
540 if debug and intersection is not None:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
541 from matplotlib.pyplot import plot, figure, axis, title
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
542 figure()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
543 plot([p1.x, intersection.x], [p1.y, intersection.y], 'r')
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
544 plot([p2.x, intersection.x], [p2.y, intersection.y], 'b')
515
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
545 intersection.plot()
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
546 obj1.plot('r')
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
547 obj2.plot('b')
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
548 title('instant {0}'.format(currentInstant))
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
549 axis('equal')
289
e56c34c1ebac refactored and commented functions (saving data is now outside of the computation functions)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 271
diff changeset
550
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
551 return currentInstant, collisionPoints, crossingZones
260
36cb40c51a5e modified the organization of the code
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 259
diff changeset
552
464
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
553 class CVExactPredictionParameters(PredictionParameters):
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
554 '''Prediction parameters of prediction at constant velocity
698
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
555 using direct computation of the intersecting point (solving the equation)
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
556 Warning: the computed time to collision may be higher than timeHorizon (not used)'''
464
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
557
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
558 def __init__(self):
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
559 PredictionParameters.__init__(self, 'constant velocity (direct exact computation)', None)
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
560
701
4cc56ff82c3c corrected bug for prediction at constant velocity, exact computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 698
diff changeset
561 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, *kwargs):
881
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
562 'TODO compute pPET'
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
563 collisionPoints = []
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
564 crossingZones = []
269
a9988971aac8 removed legacy code + tweaks
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 268
diff changeset
565
464
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
566 p1 = obj1.getPositionAtInstant(currentInstant)
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
567 p2 = obj2.getPositionAtInstant(currentInstant)
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
568 v1 = obj1.getVelocityAtInstant(currentInstant)
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
569 v2 = obj2.getVelocityAtInstant(currentInstant)
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
570 intersection = moving.intersection(p1, p1+v1, p2, p2+v2)
484
6464e4f0cc26 integrated Sohail direct computation of TTC (need to add pPET)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 470
diff changeset
571
636
3058e00887bc removed all issues because of tests with None, using is instead of == or !=
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 630
diff changeset
572 if intersection is not None:
484
6464e4f0cc26 integrated Sohail direct computation of TTC (need to add pPET)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 470
diff changeset
573 ttc = moving.Point.timeToCollision(p1, p2, v1, v2, collisionDistanceThreshold)
881
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
574 if ttc is not None:
888
40994bb43148 corrected bug
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 881
diff changeset
575 collisionPoints = [SafetyPoint(intersection, 1., ttc)]
484
6464e4f0cc26 integrated Sohail direct computation of TTC (need to add pPET)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 470
diff changeset
576 else:
881
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
577 pass # compute pPET
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
578
8ba82b371eea work on storing PET
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 860
diff changeset
579 return currentInstant, collisionPoints, crossingZones
260
36cb40c51a5e modified the organization of the code
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 259
diff changeset
580
619
dc2d0a0d7fe1 merged code from Mohamed Gomaa Mohamed for the use of points of interests in mation pattern learning and motion prediction (TRB 2015)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 613
diff changeset
581 class PrototypePredictionParameters(PredictionParameters):
943
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
582 def __init__(self, prototypes, nPredictedTrajectories, pointSimilarityDistance, minSimilarity, lcssMetric = 'cityblock', minFeatureTime = 10, constantSpeed = False, useFeatures = True): # lcss parameters
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
583 PredictionParameters.__init__(self, 'prototypes', None)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
584 self.prototypes = prototypes
607
84690dfe5560 add some functions for behaviour analysis
MohamedGomaa
parents: 571
diff changeset
585 self.nPredictedTrajectories = nPredictedTrajectories
943
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
586 self.lcss = LCSS(metric = lcssMetric, epsilon = pointSimilarityDistance)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
587 #self.similarityFunc = lambda x,y : self.lcss.computeNormalized(x, y)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
588 self.minSimilarity = minSimilarity
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
589 self.minFeatureTime = minFeatureTime
619
dc2d0a0d7fe1 merged code from Mohamed Gomaa Mohamed for the use of points of interests in mation pattern learning and motion prediction (TRB 2015)
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 613
diff changeset
590 self.constantSpeed = constantSpeed
943
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
591 self.useFeatures = useFeatures
607
84690dfe5560 add some functions for behaviour analysis
MohamedGomaa
parents: 571
diff changeset
592
943
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
593 def generatePredictedTrajectories(self, obj, instant):
607
84690dfe5560 add some functions for behaviour analysis
MohamedGomaa
parents: 571
diff changeset
594 predictedTrajectories = []
943
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
595 if instant-obj.getFirstInstant()+1 >= self.minFeatureTime:
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
596 if self.useFeatures and obj.hasFeatures():
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
597 # get current features existing for the most time, sort on first instant of feature and take n first
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
598 pass
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
599 else:
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
600 if not hasattr(obj, 'prototypeSimilarities'):
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
601 obj.prototypeSimilarities = []
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
602 for proto in self.prototypes:
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
603 self.lcss.similarities(proto.getMovingObject().getPositions().asArray().T, obj.getPositions().asArray().T)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
604 similarities = self.lcss.similarityTable[-1, :-1].astype(float)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
605 obj.prototypeSimilarities.append(similarities/np.minimum(np.arange(1.,len(similarities)+1), proto.getMovingObject().length()*np.ones(len(similarities))))
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
606 for proto, similarities in zip(self.prototypes, obj.prototypeSimilarities):
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
607 if similarities[instant-obj.getFirstInstant()] >= self.minSimilarity:
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
608 initialPosition = obj.getPositionAtInstant(instant)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
609 initialVelocity = obj.getVelocityAtInstant(instant)
b1e8453c207c work on motion prediction using motion patterns
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 942
diff changeset
610 predictedTrajectories.append(PredictedTrajectoryPrototype(initialPosition, initialVelocity, proto.getMovingObject(), constantSpeed = self.constantSpeed, probability = proto.getNMatchings()))
607
84690dfe5560 add some functions for behaviour analysis
MohamedGomaa
parents: 571
diff changeset
611 return predictedTrajectories
243
e0988a8ace0c started adapting and moving to other modules Mohamed's work
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 240
diff changeset
612
255
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
613 if __name__ == "__main__":
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
614 import doctest
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
615 import unittest
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
616 suite = doctest.DocFileSuite('tests/prediction.txt')
255
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
617 #suite = doctest.DocTestSuite()
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
618 unittest.TextTestRunner().run(suite)
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
619 #doctest.testmod()
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
620 #doctest.testfile("example.txt")
13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 250
diff changeset
621