Online and Robust Intermittent Motion Planning in Dynamic and Changing Environments-Reference-Cited by-同舟云学术

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Online and Robust Intermittent Motion Planning in Dynamic and Changing Environments

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Xu Zirui¹^ORCID,Kontoudis George P.²^ORCID,Vamvoudakis Kyriakos G.³^ORCID

Affiliation:

1. Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA

2. Department of Aerospace Engineering, University of Maryland at College Park, College Park, MD, USA

3. Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

NSF

National Aeronautics and Space Administration (NASA) University Leadership Initiative

U.S. Army

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10232923.pdf?arnumber=10232923

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3. LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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