Magnetic Field-Aided Global Localization in Repetitive Environments-Reference-Cited by-同舟云学术

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Magnetic Field-Aided Global Localization in Repetitive Environments

Published:2023-06-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
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Author:

Wu Zhenyu¹,Wang Wei¹,Zhang Haoyuan¹,Zhang Jun¹,Lyu Qiyang¹,Wang Danwei¹

Affiliation:

1. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore,639798

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370007/10370008/10370015.pdf?arnumber=10370015

Reference38 articles.

1. Global indoor self-localization based on the ambient magnetic field

2. Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot

3. Monte Carlo Localization on Gaussian Process Occupancy Maps for Urban Environments

4. A Novel Global Localization Approach Based on Structural Unit Encoding and Multiple Hypothesis Tracking

5. Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization

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. 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

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