A Rear Anti-Collision Decision-Making Methodology Based on Deep Reinforcement Learning for Autonomous Commercial Vehicles-Reference-Cited by-同舟云学术

A Rear Anti-Collision Decision-Making Methodology Based on Deep Reinforcement Learning for Autonomous Commercial Vehicles

Author:

Hu Weiming¹^ORCID,Li Xu¹^ORCID,Hu Jinchao¹^ORCID,Song Xiang²^ORCID,Dong Xuan³,Kong Dong¹,Xu Qimin¹^ORCID,Ren Chunxiao³^ORCID

Affiliation:

1. School of Instrument Science and Engineering, Southeast University, Nanjing, China

2. School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China

3. Research Institute of Highway Ministry of Transport, Haidian District, Beijing, China

Funder

Primary Research and Development Plan of Jiangsu Province

National Natural Science Foundation of China

Future Network Scientific Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

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