diff python/events.py @ 943:b1e8453c207c

work on motion prediction using motion patterns
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 19 Jul 2017 18:02:38 -0400
parents b67a784beb69
children d6c1c05d11f5
line wrap: on
line diff
--- a/python/events.py	Tue Jul 18 18:01:16 2017 -0400
+++ b/python/events.py	Wed Jul 19 18:02:38 2017 -0400
@@ -216,19 +216,19 @@
                 minDistances[instant] = moving.MovingObject.minDistance(self.roadUser1, self.roadUser2, instant)
             self.addIndicator(indicators.SeverityIndicator(Interaction.indicatorNames[3], minDistances, mostSevereIsMax = False))
 
-    def computeCrossingsCollisions(self, predictionParameters, 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):
+    def computeCrossingsCollisions(self, predictionParameters, 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):
         '''Computes all crossing and collision points at each common instant for two road users. '''
         TTCs = {}
         collisionProbabilities = {}
-        if usePrototypes:
-            route1= getRoute(self.roadUser1,prototypes,objects,noiseEntryNums,noiseExitNums,useDestination)
-            route2= getRoute(self.roadUser2,prototypes,objects,noiseEntryNums,noiseExitNums,useDestination)
+        # if usePrototypes:
+        #     route1= getRoute(self.roadUser1,prototypes,objects,noiseEntryNums,noiseExitNums,useDestination)
+        #     route2= getRoute(self.roadUser2,prototypes,objects,noiseEntryNums,noiseExitNums,useDestination)
 
         if timeInterval is not None:
             commonTimeInterval = timeInterval
         else:
             commonTimeInterval = self.timeInterval
-        self.collisionPoints, crossingZones = predictionParameters.computeCrossingsCollisions(self.roadUser1, self.roadUser2, collisionDistanceThreshold, timeHorizon, computeCZ, debug, commonTimeInterval, nProcesses,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype,acceptPartialLength, step)
+        self.collisionPoints, crossingZones = predictionParameters.computeCrossingsCollisions(self.roadUser1, self.roadUser2, collisionDistanceThreshold, timeHorizon, computeCZ, debug, commonTimeInterval, nProcesses)#,usePrototypes,route1,route2,prototypes,secondStepPrototypes,nMatching,objects,noiseEntryNums,noiseExitNums,minSimilarity,mostMatched,useDestination,useSpeedPrototype,acceptPartialLength, step)
         for i, cps in self.collisionPoints.iteritems():
             TTCs[i] = prediction.SafetyPoint.computeExpectedIndicator(cps)
             collisionProbabilities[i] = sum([p.probability for p in cps])