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pro vyhledávání: '"Zhou, Hanchu"'
To safely navigate intricate real-world scenarios, autonomous vehicles must be able to adapt to diverse road conditions and anticipate future events. World model (WM) based reinforcement learning (RL) has emerged as a promising approach by learning a
Externí odkaz:
http://arxiv.org/abs/2405.09111
Autor:
Wang, Lening, Ren, Yilong, Jiang, Han, Cai, Pinlong, Fu, Daocheng, Wang, Tianqi, Cui, Zhiyong, Yu, Haiyang, Wang, Xuesong, Zhou, Hanchu, Huang, Helai, Wang, Yinhai
Traffic accidents, being a significant contributor to both human casualties and property damage, have long been a focal point of research for many scholars in the field of traffic safety. However, previous studies, whether focusing on static environm
Externí odkaz:
http://arxiv.org/abs/2312.13156
Publikováno v:
In Accident Analysis and Prevention August 2024 203
Autor:
Zhou, Rui, Zhang, Guoqing, Huang, Helai, Wei, Zhiyuan, Zhou, Hanchu, Jin, Jieling, Chang, Fangrong, Chen, Jiguang
Publikováno v:
In Accident Analysis and Prevention July 2024 202
Publikováno v:
In Computer Law & Security Review: The International Journal of Technology Law and Practice November 2023 51
Publikováno v:
In Accident Analysis and Prevention October 2023 191
Akademický článek
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Autor:
Zhou, Hanchu, Chang, Fangrong
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 1 December 2022 607
Publikováno v:
In Journal of Safety Research June 2022 81:216-224
Publikováno v:
In Accident Analysis and Prevention February 2022 165