Mercurial Hosting > traffic-intelligence
diff python/extrapolation.py @ 244:5027c174ab90
moved indicators to new file, added ExtrapolatedTrajectory class to extrapolation file
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Tue, 17 Jul 2012 00:15:42 -0400 |
parents | e0988a8ace0c |
children | bd8ab323c198 |
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--- a/python/extrapolation.py Mon Jul 16 04:57:35 2012 -0400 +++ b/python/extrapolation.py Tue Jul 17 00:15:42 2012 -0400 @@ -1,166 +1,190 @@ #! /usr/bin/env python '''Library for moving object extrapolation hypotheses''' -import sys +import moving + +class ExtrapolatedTrajectory: + '''Class for extrapolated trajectories with lazy evaluation + if the predicted position has not been already computed, compute it + + it should also have a probability''' + def predictPosition(self, nTimeSteps): + return None -import moving +class ExtrapolatedTrajectoryConstant(ExtrapolatedTrajectory): + '''Extrapolated trajectory at constant speed or acceleration + TODO add limits if acceleration + TODO generalize by passing a series of velocities/accelerations''' + + def __init__(self, initialPosition, initialVelocity, initialAccleration = 0, probability = 1): + self.initialPosition = initialPosition + self.initialVelocity = initialVelocity + self.initialAccleration = initialAccleration + self.probability = probability + self.predictedPositions = {} + self.predictedVelocities = {} + + def predictPosition(self, nTimeSteps): + if not nTimeSteps in self.predictedPositions.keys(): + self.predictedPositions[nTimeSteps] = moving.Point.predictPosition(nTimeSteps, self.initialPosition, self.initialVelocity, self.initialAcceleration) + return self.predictedPositions[nTimeSteps] # Default values: to remove because we cannot tweak that from a script where the value may be different FPS= 25 # No. of frame per second (FPS) -vLimit= 25/FPS #assume limit speed is 90km/hr = 25 m/sec -deltaT= FPS*5 # extrapolatation time Horizon = 5 second - +vLimit= 25/FPS #assume limit speed is 90km/hr = 25 m/sec +deltaT= FPS*5 # extrapolatation time Horizon = 5 second + def motion (position, velocity, acceleration): - ''' extrapolation hypothesis: constant acceleration''' - from math import atan2,cos,sin - vInit= velocity - vInitial= velocity.norm2() - theta= atan2(velocity.y,velocity.x) - vFinal= vInitial+acceleration - - if acceleration<= 0: - v= max(0,vFinal) - velocity= moving.Point(v* cos(theta),v* sin(theta)) - position= position+ (velocity+vInit). multiply(0.5) - else: - v= min(vLimit,vFinal) - velocity= moving.Point(v* cos(theta),v* sin(theta)) - position= position+ (velocity+vInit). multiply(0.5) - return(position,velocity) + ''' extrapolation hypothesis: constant acceleration''' + from math import atan2,cos,sin + vInit= velocity + vInitial= velocity.norm2() + theta= atan2(velocity.y,velocity.x) + vFinal= vInitial+acceleration + + if acceleration<= 0: + v= max(0,vFinal) + velocity= moving.Point(v* cos(theta),v* sin(theta)) + position= position+ (velocity+vInit). multiply(0.5) + else: + v= min(vLimit,vFinal) + velocity= moving.Point(v* cos(theta),v* sin(theta)) + position= position+ (velocity+vInit). multiply(0.5) + return(position,velocity) def motionPET (position, velocity, acceleration, deltaT): - ''' extrapolation hypothesis: constant acceleration for calculating pPET ''' - from math import atan2,cos,sin,fabs - vInit= velocity - vInitial= velocity.norm2() - theta= atan2(velocity.y,velocity.x) - vFinal= vInitial+acceleration * deltaT - if acceleration< 0: - if vFinal> 0: - velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) - position= position+ (vInit+ velocity). multiply(0.5*deltaT) - else: - T= fabs(vInitial/acceleration) - position= position + vInit. multiply(0.5*T) - elif acceleration> 0 : - if vFinal<= vLimit: - velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) - position= position+ (vInit+ velocity). multiply(0.5*deltaT) - else: - time1= fabs((vLimit-vInitial)/acceleration) - velocity= moving.Point(vLimit* cos(theta),vLimit* sin(theta)) - position= (position+ (velocity+vInit). multiply(0.5*time1)) + (velocity.multiply (deltaT-time1)) - elif acceleration == 0: - position= position + velocity. multiply(deltaT) - - return position + ''' extrapolation hypothesis: constant acceleration for calculating pPET ''' + from math import atan2,cos,sin,fabs + vInit= velocity + vInitial= velocity.norm2() + theta= atan2(velocity.y,velocity.x) + vFinal= vInitial+acceleration * deltaT + if acceleration< 0: + if vFinal> 0: + velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) + position= position+ (vInit+ velocity). multiply(0.5*deltaT) + else: + T= fabs(vInitial/acceleration) + position= position + vInit. multiply(0.5*T) + elif acceleration> 0 : + if vFinal<= vLimit: + velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) + position= position+ (vInit+ velocity). multiply(0.5*deltaT) + else: + time1= fabs((vLimit-vInitial)/acceleration) + velocity= moving.Point(vLimit* cos(theta),vLimit* sin(theta)) + position= (position+ (velocity+vInit). multiply(0.5*time1)) + (velocity.multiply (deltaT-time1)) + elif acceleration == 0: + position= position + velocity. multiply(deltaT) + + return position def timePET (position, velocity, acceleration, intersectedPoint ): - ''' extrapolation hypothesis: constant acceleration for calculating pPET ''' - from math import atan2,cos,sin,fabs - vInit= velocity - vInitial= velocity.norm2() - theta= atan2(velocity.y,velocity.x) - vFinal= vInitial+acceleration * deltaT - if acceleration< 0: - if vFinal> 0: - velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) - time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) - else: - time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x))) - elif acceleration> 0 : - if vFinal<= vLimit: - velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) - time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) - else: - time1= fabs((vLimit-vInitial)/acceleration) - velocity= moving.Point(vLimit* cos(theta),vLimit* sin(theta)) - time2= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) - if time2<=time1: - time= time2 - else: - position2= (position+ (velocity+vInit). multiply(0.5*time1)) - time= time1+fabs((intersectedPoint.x-position2.x)/( velocity.x)) - elif acceleration == 0: - time= fabs((intersectedPoint.x-position.x)/(velocity.x)) - - return time - + ''' extrapolation hypothesis: constant acceleration for calculating pPET ''' + from math import atan2,cos,sin,fabs + vInit= velocity + vInitial= velocity.norm2() + theta= atan2(velocity.y,velocity.x) + vFinal= vInitial+acceleration * deltaT + if acceleration< 0: + if vFinal> 0: + velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) + time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) + else: + time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x))) + elif acceleration> 0 : + if vFinal<= vLimit: + velocity= moving.Point(vFinal* cos(theta),vFinal* sin(theta)) + time= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) + else: + time1= fabs((vLimit-vInitial)/acceleration) + velocity= moving.Point(vLimit* cos(theta),vLimit* sin(theta)) + time2= fabs((intersectedPoint.x-position.x)/(0.5*(vInit.x+ velocity.x))) + if time2<=time1: + time= time2 + else: + position2= (position+ (velocity+vInit). multiply(0.5*time1)) + time= time1+fabs((intersectedPoint.x-position2.x)/( velocity.x)) + elif acceleration == 0: + time= fabs((intersectedPoint.x-position.x)/(velocity.x)) + + return time + def motionSteering (position, velocity, deltaTheta, deltaT ): - ''' extrapolation hypothesis: steering with deltaTheta''' - from math import atan2,cos,sin - vInitial= velocity.norm2() - theta= atan2(velocity.y,velocity.x) - newTheta= theta + deltaTheta - velocity= moving.Point(vInitial* cos(newTheta),vInitial* sin(newTheta)) - position= position+ (velocity). multiply(deltaT) - return position - + ''' extrapolation hypothesis: steering with deltaTheta''' + from math import atan2,cos,sin + vInitial= velocity.norm2() + theta= atan2(velocity.y,velocity.x) + newTheta= theta + deltaTheta + velocity= moving.Point(vInitial* cos(newTheta),vInitial* sin(newTheta)) + position= position+ (velocity). multiply(deltaT) + return position + def MonteCarlo(movingObject1,movingObject2, instant): - ''' Monte Carlo Simulation : estimate the probability of collision''' - from random import uniform - from math import pow, sqrt, sin, cos,atan2 - N=1000 - ProbOfCollision = 0 - for n in range (1, N): - # acceleration limit - acc1 = uniform(-0.040444,0) - acc2 = uniform(-0.040444,0) - p1= movingObject1.getPositionAtInstant(instant) - p2= movingObject2.getPositionAtInstant(instant) - v1= movingObject1.getVelocityAtInstant(instant) - v2= movingObject2.getVelocityAtInstant(instant) - distance= (p1-p2).norm2() - distanceThreshold= 1.8 - t=1 - while distance > distanceThreshold and t <= deltaT: - # Extrapolation position - (p1,v1) = motion(p1,v1,acc1) - (p2,v2) = motion(p2,v2,acc2) - distance= (p1-p2).norm2() - if distance <=distanceThreshold: - ProbOfCollision= ProbOfCollision+1 - t+=1 - POC= float(ProbOfCollision)/N - return POC - + ''' Monte Carlo Simulation : estimate the probability of collision''' + from random import uniform + from math import pow, sqrt, sin, cos,atan2 + N=1000 + ProbOfCollision = 0 + for n in range (1, N): + # acceleration limit + acc1 = uniform(-0.040444,0) + acc2 = uniform(-0.040444,0) + p1= movingObject1.getPositionAtInstant(instant) + p2= movingObject2.getPositionAtInstant(instant) + v1= movingObject1.getVelocityAtInstant(instant) + v2= movingObject2.getVelocityAtInstant(instant) + distance= (p1-p2).norm2() + distanceThreshold= 1.8 + t=1 + while distance > distanceThreshold and t <= deltaT: + # Extrapolation position + (p1,v1) = motion(p1,v1,acc1) + (p2,v2) = motion(p2,v2,acc2) + distance= (p1-p2).norm2() + if distance <=distanceThreshold: + ProbOfCollision= ProbOfCollision+1 + t+=1 + POC= float(ProbOfCollision)/N + return POC + def velocitySteering(velocity,steering): - from math import atan2,cos,sin - vInitial= velocity.norm2() - theta= atan2(velocity.y,velocity.x) - newTheta= theta + steering - v= moving.Point(vInitial* cos(newTheta),vInitial* sin(newTheta)) - return v + from math import atan2,cos,sin + vInitial= velocity.norm2() + theta= atan2(velocity.y,velocity.x) + newTheta= theta + steering + v= moving.Point(vInitial* cos(newTheta),vInitial* sin(newTheta)) + return v def MonteCarloSteering(movingObject1,movingObject2, instant,steering1,steering2): - ''' Monte Carlo Simulation : estimate the probability of collision in case of steering''' - from random import uniform - from math import pow, sqrt, sin, cos,atan2 - N=1000 - L= 2.4 - ProbOfCollision = 0 - for n in range (1, N): - # acceleration limit - acc1 = uniform(-0.040444,0) - acc2 = uniform(-0.040444,0) - p1= movingObject1.getPositionAtInstant(instant) - p2= movingObject2.getPositionAtInstant(instant) - vInit1= movingObject1.getVelocityAtInstant(instant) - v1= velocitySteering (vInit1,steering1) - vInit2= movingObject2.getVelocityAtInstant(instant) - v2= velocitySteering (vInit2,steering2) - distance= (p1-p2).norm2() - distanceThreshold= 1.8 - t=1 - while distance > distanceThreshold and t <= deltaT: - # Extrapolation position - (p1,v1) = motion(p1,v1,acc1) - (p2,v2) = motion(p2,v2,acc2) - distance= (p1-p2).norm2() - if distance <=distanceThreshold: - ProbOfCollision= ProbOfCollision+1 - t+=1 - POC= float(ProbOfCollision)/N - return POC + ''' Monte Carlo Simulation : estimate the probability of collision in case of steering''' + from random import uniform + from math import pow, sqrt, sin, cos,atan2 + N=1000 + L= 2.4 + ProbOfCollision = 0 + for n in range (1, N): + # acceleration limit + acc1 = uniform(-0.040444,0) + acc2 = uniform(-0.040444,0) + p1= movingObject1.getPositionAtInstant(instant) + p2= movingObject2.getPositionAtInstant(instant) + vInit1= movingObject1.getVelocityAtInstant(instant) + v1= velocitySteering (vInit1,steering1) + vInit2= movingObject2.getVelocityAtInstant(instant) + v2= velocitySteering (vInit2,steering2) + distance= (p1-p2).norm2() + distanceThreshold= 1.8 + t=1 + while distance > distanceThreshold and t <= deltaT: + # Extrapolation position + (p1,v1) = motion(p1,v1,acc1) + (p2,v2) = motion(p2,v2,acc2) + distance= (p1-p2).norm2() + if distance <=distanceThreshold: + ProbOfCollision= ProbOfCollision+1 + t+=1 + POC= float(ProbOfCollision)/N + return POC