arXiv Robotics — research abstracts· Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Fangzhou Lin, Peizheng Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Frank Hao Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Tianbao Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu·· 2 days agoEditorial score65
Generative AI for Autonomous Driving: Frontiers and Opportunities
Generative AI for Autonomous Driving: Frontiers and Opportunities
Summary
This paper presents a survey of the role of generative AI in autonomous driving, exploring its applications in image, LiDAR, trajectory, and video generation, as well as LLM-guided reasoning and decision-making. It identifies challenges such as generalization, safety, and regulatory compliance, and proposes research directions for integrating generative AI with autonomous mobility systems.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org