Human-Like Decision Making and Planning for Autonomous Driving with Reinforcement Learning-Reference-Cited by-同舟云学术

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Human-Like Decision Making and Planning for Autonomous Driving with Reinforcement Learning

Published:2023-09-24 Issue: Volume: Page:3922-3929
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Zong Ziqi¹,Shi Jiamin¹,Wang Runsheng¹,Chen Shitao¹,Zheng Nanning¹

Affiliation:

1. Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421908.pdf?arnumber=10421908

Reference27 articles.

1. Traffic interaction in the urban challenge: Putting boss on its best behavior

2. End-to-End Driving Model for Steering Control of Autonomous Vehicles with Future Spatiotemporal Features

3. End-to-End Deep Learning Model for Steering Angle Control of Autonomous Vehicles

4. Autonomous Car Driving Using Deep Learning

5. End-to-End Autonomous Driving Decision Based on Deep Reinforcement Learning

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