annotate python/prediction.py @ 664:455f9b93819c

added capability to set a videofilename to movingobject and interaction, renames interactiontype to collision in interaction
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 20 May 2015 12:04:22 +0200
parents 72174e66aba5
children 15e244d2a1b5
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1 #! /usr/bin/env python
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2 '''Library for motion prediction methods'''
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3
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4 import moving
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5 import math
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6 import random
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7 import numpy as np
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8 from utils import LCSS
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9
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10 class PredictedTrajectory:
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11 '''Class for predicted trajectories with lazy evaluation
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12 if the predicted position has not been already computed, compute it
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14 it should also have a probability'''
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15
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16 def __init__(self):
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17 self.probability = 0.
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18 self.predictedPositions = {}
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19 self.predictedSpeedOrientations = {}
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20 #self.collisionPoints = {}
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21 #self.crossingZones = {}
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22
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23 def predictPosition(self, nTimeSteps):
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24 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys():
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25 self.predictPosition(nTimeSteps-1)
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26 self.predictedPositions[nTimeSteps], self.predictedSpeedOrientations[nTimeSteps] = moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], self.getControl(), self.maxSpeed)
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27 return self.predictedPositions[nTimeSteps]
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28
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29 def getPredictedTrajectory(self):
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30 return moving.Trajectory.fromPointList(self.predictedPositions.values())
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31
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32 def getPredictedSpeeds(self):
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33 return [so.norm for so in self.predictedSpeedOrientations.values()]
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34
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35 def plot(self, options = '', withOrigin = False, timeStep = 1, **kwargs):
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36 self.getPredictedTrajectory().plot(options, withOrigin, timeStep, **kwargs)
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37
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38 class PredictedTrajectoryConstant(PredictedTrajectory):
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39 '''Predicted trajectory at constant speed or acceleration
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40 TODO generalize by passing a series of velocities/accelerations'''
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41
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42 def __init__(self, initialPosition, initialVelocity, control = moving.NormAngle(0,0), probability = 1., maxSpeed = None):
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43 self.control = control
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44 self.maxSpeed = maxSpeed
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45 self.probability = probability
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46 self.predictedPositions = {0: initialPosition}
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47 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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49 def getControl(self):
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50 return self.control
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51
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52 def findNearestParams(initialPosition,prototypeTrajectory):
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53 ''' nearest parameters are the index of minDistance and the orientation '''
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54 distances=[]
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55 for position in prototypeTrajectory.positions:
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56 distances.append(moving.Point.distanceNorm2(initialPosition, position))
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57 minDistanceIndex= np.argmin(distances)
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58 return minDistanceIndex, moving.NormAngle.fromPoint(prototypeTrajectory.velocities[minDistanceIndex]).angle
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59
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60 class PredictedTrajectoryPrototype(PredictedTrajectory):
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61 '''Predicted trajectory that follows a prototype trajectory
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62 The prototype is in the format of a moving.Trajectory: it could be
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63 1. an observed trajectory (extracted from video)
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64 2. a generic polyline (eg the road centerline) that a vehicle is supposed to follow
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65
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66 Prediction can be done
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67 1. at constant speed (the instantaneous user speed)
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68 2. following the trajectory path, at the speed of the user
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69 (applying a constant ratio equal
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70 to the ratio of the user instantaneous speed and the trajectory closest speed)'''
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71
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72 def __init__(self, initialPosition, initialVelocity, prototypeTrajectory, constantSpeed = True, probability = 1.):
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73 self.prototypeTrajectory = prototypeTrajectory
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74 self.constantSpeed = constantSpeed
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75 self.probability = probability
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76 self.predictedPositions = {0: initialPosition}
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77 self.predictedSpeedOrientations = {0: moving.NormAngle(moving.NormAngle.fromPoint(initialVelocity).norm, findNearestParams(initialPosition,prototypeTrajectory)[1])}#moving.NormAngle.fromPoint(initialVelocity)}
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78
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79 def predictPosition(self, nTimeSteps):
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80 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys():
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81 if self.constantSpeed:
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82 # calculate cumulative distance
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83 speedNorm= self.predictedSpeedOrientations[0].norm #moving.NormAngle.fromPoint(initialVelocity).norm
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84 anglePrototype = findNearestParams(self.predictedPositions[nTimeSteps-1],self.prototypeTrajectory)[1]
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85 self.predictedSpeedOrientations[nTimeSteps]= moving.NormAngle(speedNorm, anglePrototype)
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86 self.predictedPositions[nTimeSteps],tmp= moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], moving.NormAngle(0,0), None)
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87
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88 else: # see c++ code, calculate ratio
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89 speedNorm= self.predictedSpeedOrientations[0].norm
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90 instant=findNearestParams(self.predictedPositions[0],self.prototypeTrajectory)[0]
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91 prototypeSpeeds= self.prototypeTrajectory.getSpeeds()[instant:]
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92 ratio=float(speedNorm)/prototypeSpeeds[0]
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93 resampledSpeeds=[sp*ratio for sp in prototypeSpeeds]
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94 anglePrototype = findNearestParams(self.predictedPositions[nTimeSteps-1],self.prototypeTrajectory)[1]
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95 if nTimeSteps<len(resampledSpeeds):
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96 self.predictedSpeedOrientations[nTimeSteps]= moving.NormAngle(resampledSpeeds[nTimeSteps], anglePrototype)
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97 self.predictedPositions[nTimeSteps],tmp= moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], moving.NormAngle(0,0), None)
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98 else:
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99 self.predictedSpeedOrientations[nTimeSteps]= moving.NormAngle(resampledSpeeds[-1], anglePrototype)
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100 self.predictedPositions[nTimeSteps],tmp= moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], moving.NormAngle(0,0), None)
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101
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102 return self.predictedPositions[nTimeSteps]
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103
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104 class PredictedTrajectoryRandomControl(PredictedTrajectory):
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105 '''Random vehicle control: suitable for normal adaptation'''
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106 def __init__(self, initialPosition, initialVelocity, accelerationDistribution, steeringDistribution, probability = 1., maxSpeed = None):
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107 '''Constructor
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108 accelerationDistribution and steeringDistribution are distributions
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109 that return random numbers drawn from them'''
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110 self.accelerationDistribution = accelerationDistribution
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111 self.steeringDistribution = steeringDistribution
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112 self.maxSpeed = maxSpeed
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113 self.probability = probability
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114 self.predictedPositions = {0: initialPosition}
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115 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)}
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116
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117 def getControl(self):
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118 return moving.NormAngle(self.accelerationDistribution(),self.steeringDistribution())
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119
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120 class SafetyPoint(moving.Point):
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121 '''Can represent a collision point or crossing zone
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122 with respective safety indicator, TTC or pPET'''
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123 def __init__(self, p, probability = 1., indicator = -1):
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124 self.x = p.x
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125 self.y = p.y
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126 self.probability = probability
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127 self.indicator = indicator
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128
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129 def __str__(self):
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130 return '{0} {1} {2} {3}'.format(self.x, self.y, self.probability, self.indicator)
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131
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132 @staticmethod
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133 def save(out, points, predictionInstant, objNum1, objNum2):
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134 for p in points:
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135 out.write('{0} {1} {2} {3}\n'.format(objNum1, objNum2, predictionInstant, p))
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136
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137 @staticmethod
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138 def computeExpectedIndicator(points):
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139 from numpy import sum
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140 return sum([p.indicator*p.probability for p in points])/sum([p.probability for p in points])
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141
358
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142 def computeCollisionTime(predictedTrajectory1, predictedTrajectory2, collisionDistanceThreshold, timeHorizon):
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143 '''Computes the first instant
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144 at which two predicted trajectories are within some distance threshold
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145 Computes all the times including timeHorizon
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146
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147 User has to check the first variable collision to know about a collision'''
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148 t = 1
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149 p1 = predictedTrajectory1.predictPosition(t)
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150 p2 = predictedTrajectory2.predictPosition(t)
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151 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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152 while t < timeHorizon and not collision:
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153 t += 1
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154 p1 = predictedTrajectory1.predictPosition(t)
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155 p2 = predictedTrajectory2.predictPosition(t)
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156 collision = (p1-p2).norm2() <= collisionDistanceThreshold
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157 return collision, t, p1, p2
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158
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159 def savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon):
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160 from matplotlib.pyplot import figure, axis, title, close, savefig
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161 figure()
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162 for et in predictedTrajectories1:
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163 et.predictPosition(timeHorizon)
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164 et.plot('rx')
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165
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166 for et in predictedTrajectories2:
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167 et.predictPosition(timeHorizon)
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168 et.plot('bx')
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169 obj1.plot('r')
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170 obj2.plot('b')
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171 title('instant {0}'.format(currentInstant))
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172 axis('equal')
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173 savefig('predicted-trajectories-t-{0}.png'.format(currentInstant))
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174 close()
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175
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176 def calculateProbability(nMatching,similarity,objects):
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177 sumFrequencies=sum([nMatching[p] for p in similarity.keys()])
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178 prototypeProbability={}
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179 for i in similarity.keys():
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180 prototypeProbability[i]= similarity[i] * float(nMatching[i])/sumFrequencies
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181 sumProbabilities= sum([prototypeProbability[p] for p in prototypeProbability.keys()])
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182 probabilities={}
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183 for i in prototypeProbability.keys():
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184 probabilities[objects[i]]= float(prototypeProbability[i])/sumProbabilities
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185 return probabilities
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186
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187 def findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,spatialThreshold=1.0, delta=180):
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188 ''' behaviour prediction first step'''
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189 if route[0] not in noiseEntryNums:
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190 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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191 elif route[1] not in noiseExitNums:
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192 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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193 else:
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194 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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195 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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196 similarity={}
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197 for y in prototypesRoutes:
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198 if y in prototypes.keys():
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199 prototypesIDs=prototypes[y]
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200 for x in prototypesIDs:
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201 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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202 if s >= minSimilarity:
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203 similarity[x]=s
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204
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205 if mostMatched==None:
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206 probabilities= calculateProbability(nMatching,similarity,objects)
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207 return probabilities
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208 else:
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209 mostMatchedValues=sorted(similarity.values(),reverse=True)[:mostMatched]
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210 keys=[k for k in similarity.keys() if similarity[k] in mostMatchedValues]
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211 newSimilarity={}
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212 for i in keys:
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213 newSimilarity[i]=similarity[i]
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214 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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215 return probabilities
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216
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217 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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218 if useDestination:
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219 prototypesRoutes=[route]
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220 else:
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221 if route[0] not in noiseEntryNums:
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222 prototypesRoutes= [ x for x in sorted(prototypes.keys()) if route[0]==x[0]]
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223 elif route[1] not in noiseExitNums:
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224 prototypesRoutes=[ x for x in sorted(prototypes.keys()) if route[1]==x[1]]
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225 else:
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226 prototypesRoutes=[x for x in sorted(prototypes.keys())]
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227 lcss = LCSS(similarityFunc=lambda x,y: (distanceForLCSS(x,y) <= spatialThreshold),delta=delta)
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228 similarity={}
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229 for y in prototypesRoutes:
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230 if y in prototypes.keys():
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231 prototypesIDs=prototypes[y]
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232 for x in prototypesIDs:
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233 s=lcss.computeNormalized(partialObjPositions, objects[x].positions)
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234 if s >= minSimilarity:
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235 similarity[x]=s
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236
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237 newSimilarity={}
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238 for i in similarity.keys():
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239 if i in secondStepPrototypes.keys():
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240 for j in secondStepPrototypes[i]:
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241 newSimilarity[j]=similarity[i]
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242 probabilities= calculateProbability(nMatching,newSimilarity,objects)
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243 return probabilities
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244
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245 def getPrototypeTrajectory(obj,route,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity=0.1,mostMatched=None,useDestination=True,useSpeedPrototype=True):
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246 partialInterval=moving.Interval(obj.getFirstInstant(),currentInstant)
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247 partialObjPositions= obj.getObjectInTimeInterval(partialInterval).positions
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248 if useSpeedPrototype:
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249 prototypeTrajectories=findPrototypesSpeed(prototypes,secondStepPrototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination)
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250 else:
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251 prototypeTrajectories=findPrototypes(prototypes,nMatching,objects,route,partialObjPositions,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched)
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252 return prototypeTrajectories
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253
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254 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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255 '''returns the lists of collision points and crossing zones'''
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256 if usePrototypes:
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257 prototypeTrajectories1 = getPrototypeTrajectory(obj1,route1,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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258 prototypeTrajectories2 = getPrototypeTrajectory(obj2,route2,currentInstant,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
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259 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant,prototypeTrajectories1)
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260 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant,prototypeTrajectories2)
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261 else:
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262 predictedTrajectories1 = predictionParams.generatePredictedTrajectories(obj1, currentInstant)
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263 predictedTrajectories2 = predictionParams.generatePredictedTrajectories(obj2, currentInstant)
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264
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265 collisionPoints = []
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266 crossingZones = []
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267 for et1 in predictedTrajectories1:
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268 for et2 in predictedTrajectories2:
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269 collision, t, p1, p2 = computeCollisionTime(et1, et2, collisionDistanceThreshold, timeHorizon)
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270
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271 if collision:
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272 collisionPoints.append(SafetyPoint((p1+p2).multiply(0.5), et1.probability*et2.probability, t))
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273 elif computeCZ: # check if there is a crossing zone
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274 # TODO? zone should be around the points at which the traj are the closest
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275 # look for CZ at different times, otherwise it would be a collision
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276 # an approximation would be to look for close points at different times, ie the complementary of collision points
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277 cz = None
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278 t1 = 0
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279 while not cz and t1 < timeHorizon: # t1 <= timeHorizon-1
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280 t2 = 0
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281 while not cz and t2 < timeHorizon:
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282 #if (et1.predictPosition(t1)-et2.predictPosition(t2)).norm2() < collisionDistanceThreshold:
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283 # cz = (et1.predictPosition(t1)+et2.predictPosition(t2)).multiply(0.5)
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284 cz = moving.segmentIntersection(et1.predictPosition(t1), et1.predictPosition(t1+1), et2.predictPosition(t2), et2.predictPosition(t2+1))
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3058e00887bc removed all issues because of tests with None, using is instead of == or !=
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diff changeset
285 if cz is not None:
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286 deltaV= (et1.predictPosition(t1)- et1.predictPosition(t1+1) - et2.predictPosition(t2)+ et2.predictPosition(t2+1)).norm2()
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287 crossingZones.append(SafetyPoint(cz, et1.probability*et2.probability, abs(t1-t2)-(float(collisionDistanceThreshold)/deltaV)))
556
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diff changeset
288 t2 += 1
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diff changeset
289 t1 += 1
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290
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diff changeset
291 if debug:
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diff changeset
292 savePredictedTrajectoriesFigure(currentInstant, obj1, obj2, predictedTrajectories1, predictedTrajectories2, timeHorizon)
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293
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diff changeset
294 return currentInstant, collisionPoints, crossingZones
556
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295
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diff changeset
296
271
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diff changeset
297 class PredictionParameters:
266
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diff changeset
298 def __init__(self, name, maxSpeed):
257
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diff changeset
299 self.name = name
266
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300 self.maxSpeed = maxSpeed
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301
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diff changeset
302 def __str__(self):
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diff changeset
303 return '{0} {1}'.format(self.name, self.maxSpeed)
257
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diff changeset
304
358
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diff changeset
305 def generatePredictedTrajectories(self, obj, instant):
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diff changeset
306 return []
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diff changeset
307
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diff changeset
308 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
309 return computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ, debug,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype)
358
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diff changeset
310
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diff changeset
311 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
312 #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
313 '''Computes all crossing and collision points at each common instant for two road users. '''
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314 collisionPoints={}
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315 crossingZones={}
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316 if timeInterval:
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diff changeset
317 commonTimeInterval = timeInterval
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diff changeset
318 else:
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diff changeset
319 commonTimeInterval = obj1.commonTimeInterval(obj2)
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diff changeset
320 if nProcesses == 1:
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diff changeset
321 if usePrototypes:
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diff changeset
322 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
323 commonTimeIntervalList1= list(xrange(firstInstant,commonTimeInterval.last-1)) # do not look at the 1 last position/velocities, often with errors
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diff changeset
324 commonTimeIntervalList2= list(xrange(firstInstant,commonTimeInterval.last-1,step)) # do not look at the 1 last position/velocities, often with errors
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diff changeset
325 for i in commonTimeIntervalList2:
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diff changeset
326 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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diff changeset
327 if len(cp) != 0:
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diff changeset
328 collisionPoints[i] = cp
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parents: 629
diff changeset
329 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
330 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
331 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
332 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
333 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
334 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
335 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
336 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
337 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
338 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
339 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
340 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
341 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
342 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
343 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
344 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
345 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
346 else:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
347 from multiprocessing import Pool
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
348 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
349 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
350 #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
351 #results.sort()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
352 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
353 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
354 #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
355 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
356 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
357 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
358 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
359 pool.close()
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
360 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
361 #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
362
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 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
364 '''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
365 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
366 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
367 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
368 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
369 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
370 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
371 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
372 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
373 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
374 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
375 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
376 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
377 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
378 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
379 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
380 # 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
381 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
382 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
383
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 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
385 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
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 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
388
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
389 class ConstantPredictionParameters(PredictionParameters):
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
390 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
391 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
392
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
393 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
394 return [PredictedTrajectoryConstant(obj.getPositionAtInstant(instant), obj.getVelocityAtInstant(instant),
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
395 maxSpeed = self.maxSpeed)]
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 = []
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
419 if self.useFeatures and obj.hadFeatures():
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)]
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
426 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
427 for initialPosition,initialVelocity in zip(positions, velocities):
466
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
428 predictedTrajectories.append(PredictedTrajectoryRandomControl(initialPosition,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
429 initialVelocity,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
430 self.accelerationDistribution,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
431 self.steeringDistribution,
e891a41c6c75 name change in prediction.py
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 464
diff changeset
432 maxSpeed = self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
433 return predictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
434
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
435 class PointSetPredictionParameters(PredictionParameters):
269
a9988971aac8 removed legacy code + tweaks
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 268
diff changeset
436 # 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
437 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
438 PredictionParameters.__init__(self, 'point set', maxSpeed)
489
000bddf84ad0 corrected bugs in safety analysis
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 484
diff changeset
439 #self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
440
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
441 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
442 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
443 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
444 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
445 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
446 velocities = [f.getVelocityAtInstant(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 #for i in xrange(self.nPredictedTrajectories):
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 for initialPosition,initialVelocity in zip(positions, velocities):
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 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition, initialVelocity,
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 maxSpeed = self.maxSpeed))
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
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
456 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
457 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
458 '''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
459 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
460
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
461 if useFeatures:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
462 name = 'point set evasive action'
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
463 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
464 name = 'evasive action'
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
465 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
466 self.nPredictedTrajectories = nPredictedTrajectories
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
467 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
468 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
469 self.steeringDistribution = steeringDistribution
268
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
470
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
471 def __str__(self):
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
472 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
473
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
474 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
475 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
476 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
477 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
478 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
479 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
480 else:
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
481 positions = [obj.getPositionAtInstant(instant)]
0c0b92f621f6 reorganized to compute evasive action for multiple positions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 267
diff changeset
482 velocities = [obj.getVelocityAtInstant(instant)]
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
483 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
484 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
485 predictedTrajectories.append(PredictedTrajectoryConstant(initialPosition,
350
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
486 initialVelocity,
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
487 moving.NormAngle(self.accelerationDistribution(),
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
488 self.steeringDistribution()),
7e9ad2d9d79c added new parameters in safety analysis script
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 336
diff changeset
489 maxSpeed = self.maxSpeed))
271
bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 270
diff changeset
490 return predictedTrajectories
257
9281878ff19e untested collision/crossing computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 256
diff changeset
491
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
492
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
493 class CVDirectPredictionParameters(PredictionParameters):
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
494 '''Prediction parameters of prediction at constant velocity
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
495 using direct computation of the intersecting point'''
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
496
387
91679eb2ff2c cleaning up safety analysis and the new traditional constant velocity method
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 359
diff changeset
497 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
498 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
499
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
500 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
501 collisionPoints = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
502 crossingZones = []
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
503
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
504 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
505 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
506 if (p1-p2).norm2() <= collisionDistanceThreshold:
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
507 collisionPoints = [SafetyPoint((p1+p1).multiply(0.5), 1., 0.)]
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
508 else:
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
509 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
510 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
511 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
512
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
513 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
514 dp1 = intersection-p1
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
515 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
516 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
517 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
518 #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
519 # (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
520 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
521 dist1 = dp1.norm2()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
522 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
523 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
524 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
525 halfCollisionDistanceThreshold = collisionDistanceThreshold/2.
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
526 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
527 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
528 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
529
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
530 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
531 if computeCZ:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
532 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
533 else:
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
534 collisionPoints = [SafetyPoint(intersection, 1., collisionTimeInterval.center())]
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
535 # elif computeCZ and (dot1 > 0 or dot2 > 0):
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
536 # if dot1 > 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
537 # firstUser = obj2 # first through crossingzone
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
538 # secondUser = obj1 # second through crossingzone
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
539 # elif dot2 > 0:
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
540 # firstUser = obj1
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
541 # secondUser = obj2
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
542 # p2 = secondUser.getPositionAtInstant(currentInstant)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
543 # v2 = secondUser.getVelocityAtInstant(currentInstant)
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
544 # indices, intersections = firstUser.getPositions().getLineIntersections(p2, p2+v2)
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
545 # if indices is not None:
630
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
546 # pass
69a98f84f3eb corrected major issue with pPET, only for CVDirect prediction for now
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 629
diff changeset
547 # else: # one has to predict !!!
359
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
548
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
549 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
550 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
551 figure()
619ae9a9a788 implemented prediction method at constant velocity with direct intersection computation
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 358
diff changeset
552 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
553 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
554 intersection.plot()
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
555 obj1.plot('r')
727e3c529519 renamed all draw functions to plot for consistency
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 489
diff changeset
556 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
557 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
558 axis('equal')
289
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559
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560 return currentInstant, collisionPoints, crossingZones
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561
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562 class CVExactPredictionParameters(PredictionParameters):
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563 '''Prediction parameters of prediction at constant velocity
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564 using direct computation of the intersecting point (solving for the equation'''
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565
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566 def __init__(self):
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567 PredictionParameters.__init__(self, 'constant velocity (direct exact computation)', None)
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568
464
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569 def computeCrossingsCollisionsAtInstant(self, currentInstant, obj1, obj2, collisionDistanceThreshold, timeHorizon, computeCZ = False, debug = False):
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570 'TODO add collision point coordinates, compute pPET'
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571 #collisionPoints = []
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572 #crossingZones = []
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573
464
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574 p1 = obj1.getPositionAtInstant(currentInstant)
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575 p2 = obj2.getPositionAtInstant(currentInstant)
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576 v1 = obj1.getVelocityAtInstant(currentInstant)
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577 v2 = obj2.getVelocityAtInstant(currentInstant)
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578 intersection = moving.intersection(p1, p1+v1, p2, p2+v2)
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579
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580 if intersection is not None:
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581 ttc = moving.Point.timeToCollision(p1, p2, v1, v2, collisionDistanceThreshold)
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582 if ttc:
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583 return [SafetyPoint(intersection, 1., ttc)], [] # (p1+v1.multiply(ttc)+p2+v2.multiply(ttc)).multiply(0.5)
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584 else:
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585 return [],[]
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586
357
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587 ####
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588 # Other Methods
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589 ####
619
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590 class PrototypePredictionParameters(PredictionParameters):
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591 def __init__(self, maxSpeed, nPredictedTrajectories, constantSpeed = True):
607
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592 name = 'prototype'
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593 PredictionParameters.__init__(self, name, maxSpeed)
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594 self.nPredictedTrajectories = nPredictedTrajectories
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595 self.constantSpeed = constantSpeed
607
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596
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597 def generatePredictedTrajectories(self, obj, instant,prototypeTrajectories):
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598 predictedTrajectories = []
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599 initialPosition = obj.getPositionAtInstant(instant)
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600 initialVelocity = obj.getVelocityAtInstant(instant)
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601 for prototypeTraj in prototypeTrajectories.keys():
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602 predictedTrajectories.append(PredictedTrajectoryPrototype(initialPosition, initialVelocity, prototypeTraj, constantSpeed = self.constantSpeed, probability = prototypeTrajectories[prototypeTraj]))
607
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603 return predictedTrajectories
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604
255
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605 if __name__ == "__main__":
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606 import doctest
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607 import unittest
271
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608 suite = doctest.DocFileSuite('tests/prediction.txt')
255
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609 #suite = doctest.DocTestSuite()
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610 unittest.TextTestRunner().run(suite)
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611 #doctest.testmod()
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612 #doctest.testfile("example.txt")
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613