CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous urban driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.
Get CARLA at http://carla.org
Citation:
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio López, and Vladlen Koltun
Conference on Robot Learning (CoRL), 2017
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6 комментариев
Amazing!!! Thanks for open-source this!
Thanks for open-source the amazing framework. I am wondering how did you design the reward function of the RL. Why the agent learns to pass the car but breaks the traffic rules？
Very interesting work! Is it possible to add additional cameras with this simulator?
really good music choice
Привет, Антон!
Если ЭТО выпустить на улицу — трупы не сосчитаешь. Машина-убийца.