A Safe Driving Decision-Making Methodology Based on Cascade Imitation Learning Network for Automated Commercial Vehicles-Reference-Cited by-同舟云学术

A Safe Driving Decision-Making Methodology Based on Cascade Imitation Learning Network for Automated Commercial Vehicles

Author:

Hu Weiming¹^ORCID,Li Xu¹^ORCID,Hu Jinchao¹^ORCID,Kong Dong¹^ORCID,Hu Yue¹^ORCID,Xu Qimin¹^ORCID,Liu Yan²^ORCID,Song Xiang³^ORCID,Dong Xuan⁴^ORCID

Affiliation:

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

2. China Automotive Engineering Research Institute Company Ltd., Yubei, Chongqing, China

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

4. Research Institute of Highway Ministry of Transport, Beijing, Haidian, China

Funder

National Key Research and Development Program of China

Jiangsu Provincial Key Research and Development Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference41 articles.

2. Generative adversarial imitation learning;ho;Proc 30th Conf Neural Inf Proc Syst,2016

4. Proximal policy optimization algorithms;schulman;arXiv 1707 06347,2017

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