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Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving

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成果类型:
会议论文
作者:
Li, Tengpeng;Wang, Hanli;Li, Xianfei;Liao, Wenlong;He, Tao;...
通讯作者:
Wang, HL;Peng, P
作者机构:
[Wang, Hanli; Li, Tengpeng] Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China.
[Wang, Hanli; Li, Tengpeng] Tongji Univ, Sch Comp Sci & Technol, Shanghai, Peoples R China.
[Li, Xianfei; Peng, Pai; He, Tao; Liao, Wenlong] COWAROBOT, Shenzhen, Peoples R China.
[He, Tao] Univ South China, Sch Elect Engn, Hengyang, Hunan, Peoples R China.
通讯机构:
[Wang, HL ] T
[Peng, P ] C
Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China.
Tongji Univ, Sch Comp Sci & Technol, Shanghai, Peoples R China.
COWAROBOT, Shenzhen, Peoples R China.
语种:
英文
期刊:
Proceedings of the AAAI Conference on Artificial Intelligence
ISSN:
2159-5399
年:
2025
页码:
4950-4958
会议名称:
39th AAAI Conference on Artificial Intelligence
会议论文集名称:
AAAI Conference on Artificial Intelligence
会议时间:
FEB 25-MAR 04, 2025
会议地点:
Philadelphia, PA
会议主办单位:
[Li, Tengpeng;Wang, Hanli] Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China.^[Li, Tengpeng;Wang, Hanli] Tongji Univ, Sch Comp Sci & Technol, Shanghai, Peoples R China.^[Li, Xianfei;Liao, Wenlong;He, Tao;Peng, Pai] COWAROBOT, Shenzhen, Peoples R China.^[He, Tao] Univ South China, Sch Elect Engn, Hengyang, Hunan, Peoples R China.
主编:
Walsh, T Shah, J Kolter, Z
出版地:
2275 E BAYSHORE RD, STE 160, PALO ALTO, CA 94303 USA
出版者:
ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE
基金类别:
National Natural Science Foundation of China [62371343]; Shanghai Municipal Science and Technology Major Project [2021SHZDZX0100]
机构署名:
本校为其他机构
院系归属:
电气工程学院
摘要:
Autonomous driving is a challenging task that requires perceiving and understanding the surrounding environment for safe trajectory planning. While existing vision-based end-to-end models have achieved promising results, these methods are still facing the challenges of vision understanding, decision reasoning and scene generalization. To solve these issues, a generative planning with 3D-vision language pre-training model named GPVL is proposed for end-to-end autonomous driving. The proposed paradigm has two significant aspects. On one hand, a 3D-vision language pre-training module is designed ...

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