Work

Lightweight Strategies for Decision-Making of Autonomous Vehicles in Lane Change Scenarios Based on Deep Reinforcement Learning

Year: 2025

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2025.3534797

Authors: Guofa Li, Jun Yan, Yifan Qiu, Qingkun Li, Jie Li, Shengbo Eben Li, Paul Green

Institutions: Chongqing University, Shenzhen University, Chinese Academy of Sciences, Institute of Software, Tsinghua University, University of Michigan

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G7224410949, G7339407351

OpenAlex ID: W4407156008

FWCI: 1.234

Cites: 37

Cited by: 5

Related to: 10