COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles

@article{Cui2022COOPERNAUTED,
  title={COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles},
  author={Jiaxun Cui and Hang Qiu and Dian Chen and Peter Stone and Yuke Zhu},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.02222}
}
Optical sensors and learning algorithms for autonomous vehicles have dramatically advanced in the past few years. Nonetheless, the reliability of today’s autonomous vehicles is hindered by the limited line-of-sight sensing capability and the brittleness of data-driven methods in handling extreme situations. With recent developments of telecommunication technologies, cooperative perception with vehicle-to-vehicle communications has become a promising paradigm to enhance autonomous driving in… 
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