This code does active information gathering to learn human's internal state in autonomous driving scenarios by actively probing the human drivers.
(Companion code to a paper presented at IROS 2016)
To run simply execute the following command: ./run {name_of_world}, where name_of_world can be anything defined in world.py. The following are all valid for example
./run world1 ./run world1_active ./run world1_active_distracted
To visualize a saved scenario you can run
./vis {path_of_saved_file}
- dynamics.py: This contains code for car dynamics.
- car.py: Relevant code for different car models (human-driven, autonomous, etc.)
- feature.py: Definition of features.
- lane.py: Definition of driving lanes.
- trajectory.py: Definition of trajectories.
- world.py: This code contains different scenarios (each consisting of lanes/cars/etc.).
- visualize.py: This contains the code for visualization (GUI).