Anomaly Detection For Robust Autonomous Navigation
Author:
Affiliation:
1. AI Institute, Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161507.pdf?arnumber=10161507
Reference34 articles.
1. Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
2. Multimodal end-to-end autonomous driving;xiao;IEEE Transactions on Intelligent Transportation Systems,2020
3. Learning Robust Vehicle Navigation Policy Under Interference and Partial Sensor Failures
4. End-To-End Interpretable Neural Motion Planner
5. Learning scalable self-driving policies for generic traffic scenarios;cai;ArXiv Preprint,2020
Cited by 2 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. Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges;IEEE Access;2024
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