A Multi-Task Fusion Strategy-Based Decision-Making and Planning Method for Autonomous Driving Vehicles.

Liu, Weiguo; Xiang, Zhiyu; Fang, Han; Huo, Ke; Wang, Zixu

Liu, Weiguo; Xiang, Zhiyu; Fang, Han; Huo, Ke; Wang, Zixu.

Afiliación

Liu W; Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
Xiang Z; National Innovation Center of Intelligent and Connected Vehicles, Beijing 100176, China.
Fang H; Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
Huo K; Wuhan Lotus Technology Co., Ltd., Wuhan 430000, China.
Wang Z; National Innovation Center of Intelligent and Connected Vehicles, Beijing 100176, China.

Sensors (Basel) ; 23(16)2023 Aug 08.

Article en En | MEDLINE | ID: mdl-37631557

Palabras clave

DDPG; VTD; decision-making planning; deep reinforcement learning; end-to-end; multi-task fusion; simulation platform

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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