April 16, 2024, 4:43 a.m. | Dvij Kalaria, Shreya Sharma, Sarthak Bhagat, Haoru Xue, John M. Dolan

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.08855v1 Announce Type: cross
Abstract: Off-road navigation is a challenging problem both at the planning level to get a smooth trajectory and at the control level to avoid flipping over, hitting obstacles, or getting stuck at a rough patch. There have been several recent works using classical approaches involving depth map prediction followed by smooth trajectory planning and using a controller to track it. We design an end-to-end reinforcement learning (RL) system for an autonomous vehicle in off-road environments using …

abstract arxiv autonomous autonomous driving control cs.lg cs.ro driving map navigation obstacles planning prediction trajectory type

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