MSTSL: Multi-Sensor Based Two-Step Localization in Geometrically Symmetric Environments-Reference-Cited by-同舟云学术

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MSTSL: Multi-Sensor Based Two-Step Localization in Geometrically Symmetric Environments

Published:2021-05-30 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wu Zhenyu,Yue Yufeng,Wen Mingxing,Zhang Jun,Peng Guohao,Wang Danwei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561471.pdf?arnumber=9561471

Cited by 8 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. MM4MM: Map Matching Framework for Multi-Session Mapping in Ambiguous and Perceptually-Degraded Environments;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Multiparticle Kalman filter for object localization in symmetric environments;Expert Systems with Applications;2024-03

3. MGLT: Magnetic-Lead Global Localization and Tracking in Degenerated Repetitive Environments;IEEE/ASME Transactions on Mechatronics;2024

4. A visual questioning answering approach to enhance robot localization in indoor environments;Frontiers in Neurorobotics;2023-11-27

5. Magnetic Field-Aided Global Localization in Repetitive Environments;2023 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM);2023-06-09

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