AI model to track car traffic using Bayesian Networks
-> python drive.py -a -i particleFilter -l lombard -d
Flags for python drive.py:
-a: Enable autonomous driving (as opposed to manual). -i : Use none, exactInference, particleFilter to (approximately) compute the belief distributions over the locations of the other cars. -l : Use this map (e.g. small or lombard). Defaults to small. -d: Debug by showing all the cars on the map. -p: All other cars remain parked (so that they don't move).
to run particle filtering : -> python drive.py -a -i particleFilter -l lombard