Mercurial Hosting > traffic-intelligence
diff python/tests/prediction.txt @ 942:ab13aaf41432
implemented motion prediction with prototypes at constant ratio, with tests
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 18 Jul 2017 18:01:16 -0400 |
| parents | c5191acb025f |
| children | 05d4302bf67e |
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--- a/python/tests/prediction.txt Tue Jul 18 16:21:39 2017 -0400 +++ b/python/tests/prediction.txt Tue Jul 18 18:01:16 2017 -0400 @@ -1,5 +1,5 @@ >>> from prediction import * ->>> import moving, storage +>>> import moving, storage, utils >>> from numpy import absolute, array >>> et = PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0)) @@ -57,3 +57,15 @@ >>> (absolute(array(traj.distances) - et.initialSpeed) < 1e-5).all() True +>>> et = PredictedTrajectoryPrototype(proto.getPositionAt(10)+moving.Point(0.6, 0.6), proto.getVelocityAt(10)*0.7, proto, False) +>>> absolute(et.initialSpeed - proto.getVelocityAt(10).norm2()*0.7) < 1e-5 +True +>>> proto = moving.MovingObject.generate(1, moving.Point(-5.,0.), moving.Point(1.,0.), moving.TimeInterval(0,10)) +>>> et = PredictedTrajectoryPrototype(proto.getPositionAt(0)+moving.Point(0., 1.), proto.getVelocityAt(0)*0.5, proto, False) +>>> for t in xrange(int(proto.length()/0.5)): x=et.predictPosition(t) +>>> et.predictPosition(10) # doctest:+ELLIPSIS +(0.0...,1.0...) +>>> et.predictPosition(12) # doctest:+ELLIPSIS +(1.0...,1.0...) + +