Behavior Cloning for Autonomous Driving Using Simulated Bird's-Eye View
Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving based on Bird's-Eye View in Simulated Cities
This study improves behavior cloning for autonomous driving using simulated bird's-eye view. A weighted approach enhances learning of critical actions, improving route completion in CARLA simulations.
Source: arXiv Robotics — research abstracts · Read original article ↗
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arXiv:2610.20203v1 Announce Type: new Abstract: This paper investigates the use of Behavior Cloning (BC) for autonomous driving from a bird's-eye view (BEV) perspective in simulated urban environments. BC uses supervised learning to mimic expert driving behaviors. Previous works have applied BC in the CARLA simulator but did not fully address the challenges of traffic light compliance. Our approach enhances BC by int
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Source：arXiv Robotics — research abstracts · arxiv.org