annotate python/prediction.py @ 942:ab13aaf41432

implemented motion prediction with prototypes at constant ratio, with tests
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 18 Jul 2017 18:01:16 -0400
parents d8ab183a7351
children b1e8453c207c
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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 # calculate cumulative distance
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86 traj = self.prototype.getPositions()
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87 trajLength = traj.length()
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88 traveledDistance = nTimeSteps*self.initialSpeed + traj.getCumulativeDistance(self.closestPointIdx)
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89 i = self.closestPointIdx
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90 while i < trajLength and traj.getCumulativeDistance(i) < traveledDistance:
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91 i += 1
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92 if i == trajLength:
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93 v = self.prototype.getVelocityAt(-1)
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94 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i-1]+v*((traveledDistance-traj.getCumulativeDistance(i-1))/v.norm2())
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95 else:
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96 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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97 else:
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98 traj = self.prototype.getPositions()
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99 trajLength = traj.length()
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100 nSteps = self.ratio*nTimeSteps+self.closestPointIdx
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101 i = int(np.floor(nSteps))
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102 if nSteps < trajLength-1:
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103 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[i]+(traj[i+1]-traj[i])*(nSteps-i)
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104 else:
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105 v = self.prototype.getVelocityAt(-1)
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106 self.predictedPositions[nTimeSteps] = self.deltaPosition+traj[-1]+v*(nSteps-trajLength+1)
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107 return self.predictedPositions[nTimeSteps]
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108
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109 class PredictedTrajectoryRandomControl(PredictedTrajectory):
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110 '''Random vehicle control: suitable for normal adaptation'''
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111 def __init__(self, initialPosition, initialVelocity, accelerationDistribution, steeringDistribution, probability = 1., maxSpeed = None):
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112 '''Constructor
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113 accelerationDistribution and steeringDistribution are distributions
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114 that return random numbers drawn from them'''
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115 self.accelerationDistribution = accelerationDistribution
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116 self.steeringDistribution = steeringDistribution
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117 self.maxSpeed = maxSpeed
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118 self.probability = probability
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119 self.predictedPositions = {0: initialPosition}
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120 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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121
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122 def getControl(self):
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123 return moving.NormAngle(self.accelerationDistribution(),self.steeringDistribution())
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124
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125 class SafetyPoint(moving.Point):
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126 '''Can represent a collision point or crossing zone
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127 with respective safety indicator, TTC or pPET'''
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128 def __init__(self, p, probability = 1., indicator = -1):
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129 self.x = p.x
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130 self.y = p.y
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131 self.probability = probability
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132 self.indicator = indicator
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133
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134 def __str__(self):
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135 return '{0} {1} {2} {3}'.format(self.x, self.y, self.probability, self.indicator)
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136
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137 @staticmethod
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138 def save(out, points, predictionInstant, objNum1, objNum2):
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139 for p in points:
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140 out.write('{0} {1} {2} {3}\n'.format(objNum1, objNum2, predictionInstant, p))
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141
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142 @staticmethod
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143 def computeExpectedIndicator(points):
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144 return np.sum([p.indicator*p.probability for p in points])/sum([p.probability for p in points])
359
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145
358
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146 def computeCollisionTime(predictedTrajectory1, predictedTrajectory2, collisionDistanceThreshold, timeHorizon):
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147 '''Computes the first instant
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148 at which two predicted trajectories are within some distance threshold
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149 Computes all the times including timeHorizon
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150
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151 User has to check the first variable collision to know about a collision'''
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152 t = 1
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153 p1 = predictedTrajectory1.predictPosition(t)
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154 p2 = predictedTrajectory2.predictPosition(t)
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155 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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156 while t < timeHorizon and not collision:
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157 t += 1
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158 p1 = predictedTrajectory1.predictPosition(t)
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159 p2 = predictedTrajectory2.predictPosition(t)
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160 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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161 return collision, t, p1, p2
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162
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163 def savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon):
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164 from matplotlib.pyplot import figure, axis, title, close, savefig
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165 figure()
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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')
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174 obj2.plot('b')
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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 close()
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179
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180 def calculateProbability(nMatching,similarity,objects):
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181 sumFrequencies=sum([nMatching[p] for p in similarity.keys()])
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182 prototypeProbability={}
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183 for i in similarity.keys():
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184 prototypeProbability[i]= similarity[i] * float(nMatching[i])/sumFrequencies
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185 sumProbabilities= sum([prototypeProbability[p] for p in prototypeProbability.keys()])
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186 probabilities={}
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187 for i in prototypeProbability.keys():
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188 probabilities[objects[i]]= float(prototypeProbability[i])/sumProbabilities
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189 return probabilities
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190
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191 def findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,spatialThreshold=1.0, delta=180):
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192 ''' behaviour prediction first step'''
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193 if route[0] not in noiseEntryNums:
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194 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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195 elif route[1] not in noiseExitNums:
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196 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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197 else:
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198 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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199 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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200 similarity={}
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201 for y in prototypesRoutes:
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202 if y in prototypes.keys():
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203 prototypesIDs=prototypes[y]
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204 for x in prototypesIDs:
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205 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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206 if s >= minSimilarity:
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207 similarity[x]=s
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208
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209 if mostMatched==None:
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210 probabilities= calculateProbability(nMatching,similarity,objects)
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211 return probabilities
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212 else:
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213 mostMatchedValues=sorted(similarity.values(),reverse=True)[:mostMatched]
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214 keys=[k for k in similarity.keys() if similarity[k] in mostMatchedValues]
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215 newSimilarity={}
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216 for i in keys:
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217 newSimilarity[i]=similarity[i]
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218 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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219 return probabilities
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220
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221 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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222 if useDestination:
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223 prototypesRoutes=[route]
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224 else:
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225 if route[0] not in noiseEntryNums:
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226 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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227 elif route[1] not in noiseExitNums:
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228 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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229 else:
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230 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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231 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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232 similarity={}
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233 for y in prototypesRoutes:
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234 if y in prototypes.keys():
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235 prototypesIDs=prototypes[y]
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236 for x in prototypesIDs:
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237 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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238 if s >= minSimilarity:
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239 similarity[x]=s
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240
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241 newSimilarity={}
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242 for i in similarity.keys():
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243 if i in secondStepPrototypes.keys():
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244 for j in secondStepPrototypes[i]:
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245 newSimilarity[j]=similarity[i]
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246 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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247 return probabilities
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248
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249 def getPrototypeTrajectory(obj,route,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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250 partialInterval=moving.Interval(obj.getFirstInstant(),currentInstant)
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251 partialObjPositions= obj.getObjectInTimeInterval(partialInterval).positions
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252 if useSpeedPrototype:
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253 prototypeTrajectories=findPrototypesSpeed(prototypes,secondStepPrototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination)
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254 else:
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255 prototypeTrajectories=findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched)
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256 return prototypeTrajectories
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257
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258 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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259 '''returns the lists of collision points and crossing zones'''
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260 if usePrototypes:
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261 prototypeTrajectories1 = getPrototypeTrajectory(obj1,route1,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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262 prototypeTrajectories2 = getPrototypeTrajectory(obj2,route2,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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263 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant,prototypeTrajectories1)
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264 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant,prototypeTrajectories2)
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265 else:
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266 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant)
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267 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant)
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268
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269 collisionPoints = []
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270 crossingZones = []
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271 for et1 in predictedTrajectories1:
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272 for et2 in predictedTrajectories2:
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273 collision, t, p1, p2 = computeCollisionTime(et1, et2, collisionDistanceThreshold, timeHorizon)
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274
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275 if collision:
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276 collisionPoints.append(SafetyPoint((p1+p2)*0.5, et1.probability*et2.probability, t))
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277 elif computeCZ: # check if there is a crossing zone
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278 # TODO? zone should be around the points at which the traj are the closest
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279 # look for CZ at different times, otherwise it would be a collision
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280 # an approximation would be to look for close points at different times, ie the complementary of collision points
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281 cz = None
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282 t1 = 0
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283 while not cz and t1 < timeHorizon: # t1 <= timeHorizon-1
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284 t2 = 0
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285 while not cz and t2 < timeHorizon:
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286 #if (et1.predictPosition(t1)-et2.predictPosition(t2)).norm2() < collisionDistanceThreshold:
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287 # cz = (et1.predictPosition(t1)+et2.predictPosition(t2)).multiply(0.5)
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288 cz = moving.segmentIntersection(et1.predictPosition(t1), et1.predictPosition(t1+1), et2.predictPosition(t2), et2.predictPosition(t2+1))
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289 if cz is not None:
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290 deltaV= (et1.predictPosition(t1)- et1.predictPosition(t1+1) - et2.predictPosition(t2)+ et2.predictPosition(t2+1)).norm2()
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291 crossingZones.append(SafetyPoint(cz, et1.probability*et2.probability, abs(t1-t2)-(float(collisionDistanceThreshold)/deltaV)))
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292 t2 += 1
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293 t1 += 1
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294
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295 if debug:
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296 savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon)
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297
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298 return currentInstant, collisionPoints, crossingZones
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299
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diff changeset
300
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diff changeset
301 class PredictionParameters(object):
266
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302 def __init__(self, name, maxSpeed):
257
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diff changeset
303 self.name = name
266
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304 self.maxSpeed = maxSpeed
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305
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306 def __str__(self):
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diff changeset
307 return '{0} {1}'.format(self.name, self.maxSpeed)
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diff changeset
308
358
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diff changeset
309 def generatePredictedTrajectories(self, obj, instant):
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diff changeset
310 return []
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diff changeset
311
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diff changeset
312 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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diff changeset
313 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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diff changeset
314
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diff changeset
315 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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diff changeset
316 #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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diff changeset
317 '''Computes all crossing and collision points at each common instant for two road users. '''
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318 collisionPoints={}
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319 crossingZones={}
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320 if timeInterval:
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diff changeset
321 commonTimeInterval = timeInterval
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diff changeset
322 else:
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diff changeset
323 commonTimeInterval = obj1.commonTimeInterval(obj2)
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diff changeset
324 if nProcesses == 1:
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diff changeset
325 if usePrototypes:
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diff changeset
326 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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diff changeset
327 commonTimeIntervalList1= range(firstInstant,commonTimeInterval.last-1) # do not look at the 1 last position/velocities, often with errors
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diff changeset
328 commonTimeIntervalList2= range(firstInstant,commonTimeInterval.last-1,step) # do not look at the 1 last position/velocities, often with errors
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diff changeset
329 for i in commonTimeIntervalList2:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
330 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)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
331 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
332 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
333 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
334 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
335 if collisionPoints!={} or crossingZones!={}:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
336 for i in commonTimeIntervalList1:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
337 if i not in commonTimeIntervalList2:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
338 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)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
339 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
340 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
341 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
342 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
343 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
344 for i in list(commonTimeInterval)[:-1]: # do not look at the 1 last position/velocities, often with errors
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
345 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)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
346 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
347 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
348 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
349 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
350 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
351 pool = Pool(processes = nProcesses)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
352 jobs = [pool.apply_async(computeCrossingsCollisionsAtInstant, args = (self, i, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)) for i in list(commonTimeInterval)[:-1]]
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
353 #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
354 #results.sort()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
355 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
356 i, cp, cz = j.get()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
357 #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
358 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
359 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
360 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
361 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
362 pool.close()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
363 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
364 #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
365
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 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
367 '''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
368 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
369 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
370 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
371 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
372 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
373 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
374 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
375 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
376 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
377 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
378 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
379 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
380 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
381 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
382 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
383 # 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
384 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
385 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
386
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 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
388 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
389
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
390 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
391
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
392 class ConstantPredictionParameters(PredictionParameters):
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
393 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
394 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
395
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
396 def generatePredictedTrajectories(self, obj, instant):
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
397 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
398
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
399 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
400 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
401 '''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
402 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
403 '''
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
404 if useFeatures:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
405 name = 'point set normal adaptation'
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
406 else:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
407 name = 'normal adaptation'
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
408 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
409 self.nPredictedTrajectories = nPredictedTrajectories
352
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
410 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
411 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
412 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
413
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
414 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
415 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
416 self.maxAcceleration,
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
417 self.maxSteering)
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
418
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
419 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
420 predictedTrajectories = []
860
07c5eab11eba fixing bug, thanks to Ryan Louie <Ryan.Louie@students.olin.edu>
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 826
diff changeset
421 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
422 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
423 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
424 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
425 else:
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
426 positions = [obj.getPositionAtInstant(instant)]
72aa44072093 safety analysis script with option for prediction method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 350
diff changeset
427 velocities = [obj.getVelocityAtInstant(instant)]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
428 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
429 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
430 for initialPosition,initialVelocity in zip(positions, velocities):
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
431 predictedTrajectories.append(PredictedTrajectoryRandomControl(initialPosition,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
432 initialVelocity,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
433 self.accelerationDistribution,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
434 self.steeringDistribution,
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
435 probability,
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
436 maxSpeed = self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
437 return predictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
438
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
439 class PointSetPredictionParameters(PredictionParameters):
269
a9988971aac8 removed legacy code + tweaks
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 268
diff changeset
440 # todo generate several trajectories with normal adaptatoins from each position (feature)
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
441 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
442 PredictionParameters.__init__(self, 'point set', maxSpeed)
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
443 #self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
444
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
445 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
446 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
447 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
448 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
449 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
450 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
451 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
452 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
453 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
454 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
455 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
456 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
457 return None
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
458
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
459 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
460 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
461 '''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
462 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
463
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
464 if useFeatures:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
465 name = 'point set evasive action'
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
466 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
467 name = 'evasive action'
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
468 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
469 self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
470 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
471 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
472 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
473
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
474 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
475 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
476
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
477 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
478 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
479 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
480 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
481 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
482 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
483 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
484 positions = [obj.getPositionAtInstant(instant)]
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
485 velocities = [obj.getVelocityAtInstant(instant)]
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
486 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
487 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
488 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
489 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition,
350
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
490 initialVelocity,
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
491 moving.NormAngle(self.accelerationDistribution(),
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
492 self.steeringDistribution()),
826
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
493 probability,
8b74a5176549 explicitly computed the probabilities for predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 701
diff changeset
494 self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
495 return predictedTrajectories
257
9281878ff19e untested collision/crossing computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 256
diff changeset
496
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
497
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
498 class CVDirectPredictionParameters(PredictionParameters):
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
499 '''Prediction parameters of prediction at constant velocity
698
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
500 using direct computation of the intersecting point
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
501 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
502
387
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
503 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
504 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
505
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
506 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
507 collisionPoints = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
508 crossingZones = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
509
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
510 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
511 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
512 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
513 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
514 else:
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
515 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
516 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
517 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
518
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
519 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
520 dp1 = intersection-p1
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
521 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
522 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
523 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
524 #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
525 # (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
526 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
527 dist1 = dp1.norm2()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
528 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
529 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
530 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
531 halfCollisionDistanceThreshold = collisionDistanceThreshold/2.
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
532 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
533 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
534 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
535
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
536 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
537 if computeCZ:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
538 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
539 else:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
540 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
541
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
542 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
543 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
544 figure()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
545 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
546 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
547 intersection.plot()
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
548 obj1.plot('r')
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
549 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
550 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
551 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
552
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
553 return currentInstant, collisionPoints, crossingZones
260
36cb40c51a5e modified the organization of the code
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 259
diff changeset
554
464
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
555 class CVExactPredictionParameters(PredictionParameters):
dcc821b98efc integrated and reorganized Sohail s work on exact ttc computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 460
diff changeset
556 '''Prediction parameters of prediction at constant velocity
698
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
557 using direct computation of the intersecting point (solving the equation)
8d99a9e16644 added clarification comments
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 696
diff changeset
558 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
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560 def __init__(self):
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561 PredictionParameters.__init__(self, 'constant velocity (direct exact computation)', None)
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562
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563 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False, *kwargs):
881
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564 'TODO compute pPET'
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565 collisionPoints = []
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566 crossingZones = []
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567
464
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568 p1 = obj1.getPositionAtInstant(currentInstant)
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569 p2 = obj2.getPositionAtInstant(currentInstant)
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570 v1 = obj1.getVelocityAtInstant(currentInstant)
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571 v2 = obj2.getVelocityAtInstant(currentInstant)
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572 intersection = moving.intersection(p1, p1+v1, p2, p2+v2)
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573
636
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574 if intersection is not None:
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575 ttc = moving.Point.timeToCollision(p1, p2, v1, v2, collisionDistanceThreshold)
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576 if ttc is not None:
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577 collisionPoints = [SafetyPoint(intersection, 1., ttc)]
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578 else:
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579 pass # compute pPET
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580
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581 return currentInstant, collisionPoints, crossingZones
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582
357
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583 ####
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584 # Other Methods
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parents: 355
diff changeset
585 ####
619
dc2d0a0d7fe1 merged code from Mohamed Gomaa Mohamed for the use of points of interests in mation pattern learning and motion prediction (TRB 2015)
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diff changeset
586 class PrototypePredictionParameters(PredictionParameters):
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587 def __init__(self, maxSpeed, nPredictedTrajectories, constantSpeed = True):
607
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588 name = 'prototype'
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589 PredictionParameters.__init__(self, name, maxSpeed)
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590 self.nPredictedTrajectories = nPredictedTrajectories
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591 self.constantSpeed = constantSpeed
607
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592
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593 def generatePredictedTrajectories(self, obj, instant,prototypeTrajectories):
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594 predictedTrajectories = []
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595 initialPosition = obj.getPositionAtInstant(instant)
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596 initialVelocity = obj.getVelocityAtInstant(instant)
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diff changeset
597 for prototypeTraj in prototypeTrajectories.keys():
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dc2d0a0d7fe1 merged code from Mohamed Gomaa Mohamed for the use of points of interests in mation pattern learning and motion prediction (TRB 2015)
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diff changeset
598 predictedTrajectories.append(PredictedTrajectoryPrototype(initialPosition, initialVelocity, prototypeTraj, constantSpeed = self.constantSpeed, probability = prototypeTrajectories[prototypeTraj]))
607
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diff changeset
599 return predictedTrajectories
243
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parents: 240
diff changeset
600
255
13ec22bec5d4 corrected typos and bugs and added a test
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diff changeset
601 if __name__ == "__main__":
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diff changeset
602 import doctest
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diff changeset
603 import unittest
271
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diff changeset
604 suite = doctest.DocFileSuite('tests/prediction.txt')
255
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diff changeset
605 #suite = doctest.DocTestSuite()
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diff changeset
606 unittest.TextTestRunner().run(suite)
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diff changeset
607 #doctest.testmod()
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diff changeset
608 #doctest.testfile("example.txt")
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609