Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making

Author:

Li Yueyuan1ORCID,Zhang Songan2,Jiang Mingyang1ORCID,Chen Xingyuan3ORCID,Yang Jing4ORCID,Qian Yeqiang1ORCID,Wang Chunxiang1ORCID,Yang Ming1ORCID

Affiliation:

1. Department of Automation, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China

2. Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China

3. University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China

4. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference31 articles.

1. From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V

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3. Box2D C tutorials - top-down car physics;Campbell,2014

4. An environment for autonomous driving decision-making;Leurent,2018

5. Smarts: An open-source scalable multi-agent rl training school for autonomous driving;Zhou,2021

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