When Is It Likely to Fail? Performance Monitor for Black-Box Trajectory Prediction Model-Reference-Cited by-同舟云学术

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When Is It Likely to Fail? Performance Monitor for Black-Box Trajectory Prediction Model

Published:2024 Issue: Volume: Page:1-15
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Shao Wenbo¹^ORCID,Li Boqi²^ORCID,Yu Wenhao¹,Xu Jiahui³,Wang Hong¹^ORCID

Affiliation:

1. School of Vehicle and Mobility, Tsinghua University, Beijing, China

2. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA

3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China

Funder

National Science Foundation of China Project

National key Research and Development Program of China

State Key Laboratory of Intelligent Green Vehicle and Mobility

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10415388.pdf?arnumber=10415388

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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