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Automatic driving lane change safety prediction model based on LSTM
March 13, 2024, 4:42 a.m. | Wenjian Sun, Linying Pan, Jingyu Xu, Weixiang Wan, Yong Wang
cs.LG updates on arXiv.org arxiv.org
Abstract: Autonomous driving technology can improve traffic safety and reduce traffic accidents. In addition, it improves traffic flow, reduces congestion, saves energy and increases travel efficiency. In the relatively mature automatic driving technology, the automatic driving function is divided into several modules: perception, decision-making, planning and control, and a reasonable division of labor can improve the stability of the system. Therefore, autonomous vehicles need to have the ability to predict the trajectory of surrounding vehicles in …
abstract accidents arxiv autonomous autonomous driving change congestion cs.ai cs.lg cs.ro cs.sy decision driving eess.iv eess.sy efficiency energy flow function lstm making modules perception planning prediction reduce safety technology traffic traffic safety travel type
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