Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction

arXiv:2402.19385v1 Announce Type: cross
Abstract: In the rapidly evolving field of autonomous driving, accurate trajectory prediction is pivotal for vehicular safety. However, trajectory predictions often deviate from actual paths, particularly in complex and challenging environments, leading to significant errors. To address this issue, our study introduces a novel method for Dynamic Occupancy Set (DOS) prediction, enhancing trajectory prediction capabilities. This method effectively combines advanced trajectory prediction networks with a DOS prediction module, overcoming the shortcomings of existing models. It provides …

abstract arxiv autonomous autonomous driving cs.cv cs.ro driving dynamic environments errors issue novel pivotal prediction predictions safety set set prediction study trajectory type