Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation

arXiv:2404.17820v1 Announce Type: cross
Abstract: Driving in an off-road environment is challenging for autonomous vehicles due to the complex and varied terrain. To ensure stable and efficient travel, the vehicle requires consideration and balancing of environmental factors, such as undulations, roughness, and obstacles, to generate optimal trajectories that can adapt to changing scenarios. However, traditional motion planners often utilize a fixed cost function for trajectory optimization, making it difficult to adapt to different driving strategies in challenging irregular terrains and …

abstract arxiv autonomous autonomous driving autonomous vehicles cognition cs.ai cs.lg cs.ro driving environment environmental generate human human-like motion planning obstacles planning travel type vehicles