Mercurial > hg > nsaunier > traffic-intelligence
annotate python/extrapolation.py @ 255:13ec22bec5d4
corrected typos and bugs and added a test
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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| date | Mon, 23 Jul 2012 23:07:19 -0400 |
| parents | 59f547aebaac |
| children | dc1faa7287bd |
| rev | line source |
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1 #! /usr/bin/env python |
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2 '''Library for moving object extrapolation hypotheses''' |
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3 |
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4 import moving |
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5 import math |
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6 |
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7 class ExtrapolatedTrajectory: |
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8 '''Class for extrapolated trajectories with lazy evaluation |
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9 if the predicted position has not been already computed, compute it |
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10 |
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11 it should also have a probability''' |
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12 def predictPosition(self, nTimeSteps): |
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13 return None |
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14 |
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15 class ExtrapolatedTrajectoryConstant(ExtrapolatedTrajectory): |
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16 '''Extrapolated trajectory at constant speed or acceleration |
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17 TODO add limits if acceleration |
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18 TODO generalize by passing a series of velocities/accelerations''' |
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19 |
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20 def __init__(self, initialPosition, initialVelocity, control = moving.NormAngle(0,0), probability = 1, maxSpeed = None): |
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21 self.control = control |
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22 self.maxSpeed = maxSpeed |
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23 self.probability = probability |
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24 self.predictedPositions = {0: initialPosition} |
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25 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)} |
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26 |
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27 def predictPosition(self, nTimeSteps): |
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28 if nTimeSteps > 0 and not nTimeSteps in self.predictedPositions.keys(): |
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29 self.predictPosition(nTimeSteps-1) |
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30 self.predictedPositions[nTimeSteps], self.predictedSpeedOrientations[nTimeSteps] = moving.predictPosition(self.predictedPositions[nTimeSteps-1], self.predictedSpeedOrientations[nTimeSteps-1], self.control, self.maxSpeed) |
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31 return self.predictedPositions[nTimeSteps] |
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32 |
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33 class ExtrapolatedTrajectoryAdaptation(ExtrapolatedTrajectoryConstant): |
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34 '''Random small adaptation of vehicle control ''' |
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35 def __init__(self, initialPosition, initialVelocity, accelerationBounds, steeringBounds, probability = 1, maxSpeed = None): |
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36 self.accelerationBounds = accelerationBounds |
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37 self.steeringBounds = steeringBounds |
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38 self.maxSpeed = maxSpeed |
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39 self.probability = probability |
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40 self.predictedPositions = {0: initialPosition} |
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41 self.predictedSpeedOrientations = {0: moving.NormAngle.fromPoint(initialVelocity)} |
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42 |
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43 def predictPosition(self, nTimeSteps): |
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44 # draw acceleration and steering |
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45 # TODO should the predictPosition be in the base class ?? |
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46 self.control = moving.NormAngle(0,0) |
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47 return ExtrapolatedTrajectoryConstant.predictPosition(self, nTimeSteps) |
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48 |
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49 # Default values: to remove because we cannot tweak that from a script where the value may be different |
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50 FPS= 25 # No. of frame per second (FPS) |
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51 vLimit= 25/FPS #assume limit speed is 90km/hr = 25 m/sec |
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52 deltaT= FPS*5 # extrapolatation time Horizon = 5 second |
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53 |
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54 def motion (position, velocity, acceleration): |
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55 ''' extrapolation hypothesis: constant acceleration''' |
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56 from math import atan2,cos,sin |
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57 vInit= velocity |
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58 vInitial= velocity.norm2() |
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59 theta= atan2(velocity.y,velocity.x) |
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60 vFinal= vInitial+acceleration |
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61 |
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62 if acceleration<= 0: |
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63 v= max(0,vFinal) |
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64 velocity= moving.Point(v* cos(theta),v* sin(theta)) |
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65 position= position+ (velocity+vInit). multiply(0.5) |
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66 else: |
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67 v= min(vLimit,vFinal) |
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68 velocity= moving.Point(v* cos(theta),v* sin(theta)) |
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69 position= position+ (velocity+vInit). multiply(0.5) |
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70 return(position,velocity) |
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71 |
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72 def motionPET (position, velocity, acceleration, deltaT): |
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73 ''' extrapolation hypothesis: constant acceleration for calculating pPET ''' |
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74 from math import atan2,cos,sin,fabs |
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75 vInit= velocity |
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76 vInitial= velocity.norm2() |
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77 theta= atan2(velocity.y,velocity.x) |
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78 vFinal= vInitial+acceleration * deltaT |
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79 if acceleration< 0: |
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80 if vFinal> 0: |
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81 velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) |
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82 position= position+ (vInit+ velocity). multiply(0.5*deltaT) |
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83 else: |
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84 T= fabs(vInitial/acceleration) |
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85 position= position + vInit. multiply(0.5*T) |
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86 elif acceleration> 0 : |
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87 if vFinal<= vLimit: |
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88 velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) |
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89 position= position+ (vInit+ velocity). multiply(0.5*deltaT) |
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90 else: |
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91 time1= fabs((vLimit-vInitial)/acceleration) |
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92 velocity= moving.Point(vLimit* cos(theta),vLimit* sin(theta)) |
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93 position= (position+ (velocity+vInit). multiply(0.5*time1)) + (velocity.multiply (deltaT-time1)) |
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94 elif acceleration == 0: |
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95 position= position + velocity. multiply(deltaT) |
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96 |
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97 return position |
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98 |
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99 def timePET (position, velocity, acceleration, intersectedPoint ): |
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100 ''' extrapolation hypothesis: constant acceleration for calculating pPET ''' |
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101 from math import atan2,cos,sin,fabs |
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102 vInit= velocity |
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103 vInitial= velocity.norm2() |
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104 theta= atan2(velocity.y,velocity.x) |
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105 vFinal= vInitial+acceleration * deltaT |
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106 if acceleration< 0: |
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107 if vFinal> 0: |
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108 velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) |
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109 time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) |
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110 else: |
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111 time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x))) |
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112 elif acceleration> 0 : |
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113 if vFinal<= vLimit: |
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114 velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) |
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115 time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) |
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116 else: |
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117 time1= fabs((vLimit-vInitial)/acceleration) |
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118 velocity= moving.Point(vLimit* cos(theta),vLimit* sin(theta)) |
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119 time2= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) |
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120 if time2<=time1: |
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121 time= time2 |
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122 else: |
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123 position2= (position+ (velocity+vInit). multiply(0.5*time1)) |
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124 time= time1+fabs((intersectedPoint.x-position2.x)/( velocity.x)) |
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125 elif acceleration == 0: |
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126 time= fabs((intersectedPoint.x-position.x)/(velocity.x)) |
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127 |
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128 return time |
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129 |
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130 def motionSteering (position, velocity, deltaTheta, deltaT ): |
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131 ''' extrapolation hypothesis: steering with deltaTheta''' |
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132 from math import atan2,cos,sin |
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133 vInitial= velocity.norm2() |
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134 theta= atan2(velocity.y,velocity.x) |
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135 newTheta= theta + deltaTheta |
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136 velocity= moving.Point(vInitial* cos(newTheta),vInitial* sin(newTheta)) |
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137 position= position+ (velocity). multiply(deltaT) |
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138 return position |
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139 |
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140 def MonteCarlo(movingObject1,movingObject2, instant): |
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141 ''' Monte Carlo Simulation : estimate the probability of collision''' |
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142 from random import uniform |
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143 from math import pow, sqrt, sin, cos,atan2 |
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144 N=1000 |
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145 ProbOfCollision = 0 |
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146 for n in range (1, N): |
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147 # acceleration limit |
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148 acc1 = uniform(-0.040444,0) |
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149 acc2 = uniform(-0.040444,0) |
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150 p1= movingObject1.getPositionAtInstant(instant) |
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151 p2= movingObject2.getPositionAtInstant(instant) |
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152 v1= movingObject1.getVelocityAtInstant(instant) |
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153 v2= movingObject2.getVelocityAtInstant(instant) |
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154 distance= (p1-p2).norm2() |
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155 distanceThreshold= 1.8 |
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156 t=1 |
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157 while distance > distanceThreshold and t <= deltaT: |
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158 # Extrapolation position |
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159 (p1,v1) = motion(p1,v1,acc1) |
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160 (p2,v2) = motion(p2,v2,acc2) |
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161 distance= (p1-p2).norm2() |
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162 if distance <=distanceThreshold: |
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163 ProbOfCollision= ProbOfCollision+1 |
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164 t+=1 |
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165 POC= float(ProbOfCollision)/N |
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166 return POC |
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167 |
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168 def velocitySteering(velocity,steering): |
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169 from math import atan2,cos,sin |
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170 vInitial= velocity.norm2() |
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171 theta= atan2(velocity.y,velocity.x) |
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172 newTheta= theta + steering |
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173 v= moving.Point(vInitial* cos(newTheta),vInitial* sin(newTheta)) |
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174 return v |
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175 |
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176 def MonteCarloSteering(movingObject1,movingObject2, instant,steering1,steering2): |
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177 ''' Monte Carlo Simulation : estimate the probability of collision in case of steering''' |
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178 from random import uniform |
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179 from math import pow, sqrt, sin, cos,atan2 |
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180 N=1000 |
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181 L= 2.4 |
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182 ProbOfCollision = 0 |
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183 for n in range (1, N): |
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184 # acceleration limit |
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185 acc1 = uniform(-0.040444,0) |
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186 acc2 = uniform(-0.040444,0) |
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187 p1= movingObject1.getPositionAtInstant(instant) |
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188 p2= movingObject2.getPositionAtInstant(instant) |
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189 vInit1= movingObject1.getVelocityAtInstant(instant) |
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190 v1= velocitySteering (vInit1,steering1) |
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191 vInit2= movingObject2.getVelocityAtInstant(instant) |
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192 v2= velocitySteering (vInit2,steering2) |
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193 distance= (p1-p2).norm2() |
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194 distanceThreshold= 1.8 |
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195 t=1 |
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196 while distance > distanceThreshold and t <= deltaT: |
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197 # Extrapolation position |
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198 (p1,v1) = motion(p1,v1,acc1) |
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199 (p2,v2) = motion(p2,v2,acc2) |
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200 distance= (p1-p2).norm2() |
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201 if distance <=distanceThreshold: |
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202 ProbOfCollision= ProbOfCollision+1 |
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203 t+=1 |
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204 POC= float(ProbOfCollision)/N |
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205 return POC |
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206 |
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207 |
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208 if __name__ == "__main__": |
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209 import doctest |
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210 import unittest |
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211 suite = doctest.DocFileSuite('tests/extrapolation.txt') |
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212 #suite = doctest.DocTestSuite() |
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213 unittest.TextTestRunner().run(suite) |
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214 #doctest.testmod() |
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215 #doctest.testfile("example.txt") |
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216 |
