An interpretation framework for autonomous vehicles decision-making via SHAP and RF-Reference-Cited by-同舟云学术

An interpretation framework for autonomous vehicles decision-making via SHAP and RF

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI)
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Author:

Cui Zhihao¹,Li Meng²,Huang Yanjun³,Wang Yulei⁴,Chen Hong⁵

Affiliation:

1. Clean Energy Automotive Engineering Center, School of Automotive Studies, Tongji University,Shanghai,China

2. Tongji University,Department of Control Science and Engineering,Shanghai,China

3. Clean Energy Automotive Engineering Center, Shanghai Research Institute for Intelligent Autonomous Systems, School of Automotive Studies, Tongji University,Shanghai,China

4. Shanghai Research Institute for Autonomous Systems, Tongji University,Department of Control Science and Engineering,Shanghai,China

5. Clean Energy Automotive Engineering Center, Shanghai Research Institute for Autonomous Systems, Tongji University,Department of Control Science and Engineering,Shanghai,China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964479/9964492/09964561.pdf?arnumber=9964561

Reference29 articles.

1. Explanations in Autonomous Driving: A Survey

2. High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning

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4. A reinforcement learning approach to autonomous decision making of intelligent vehicles on highways;xu;IEEE Transactions on Systems Man and Cybernetics Systems,2018

5. Deep Reinforcement Learning framework for Autonomous Driving

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