Landmark Extraction and Matching for Robot Positioning Based on Intensity Differential of Magnetic Field
Authors: 
Yuzhen Pi, Quande Yuan, Benfa Zhang, Lei KouAuthors Info & Claims
Pages 350 - 354
Abstract
Localization is one of the basic capabilities of a movable unmanned system. Among many localization techniques, geomagnetic field-based localization, which does not require external infrastructure, has unique advantages in indoor localization, but its accuracy and precision still need to be further improved. In this paper, we propose a landmark named LIDMF based on intensity differential of magnetic field with better discrimination, study the extraction and matching methods of LIDMF, and apply LIDMF to robot localization, and experimentally prove the effectiveness of our landmark.
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Published In
June 2023
354 pages
ISBN:9781450399883
DOI:10.1145/3606043
Copyright © 2023 ACM.
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Publication History
Published: 16 November 2023
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HP3C 2023
HP3C 2023: 2023 7th International Conference on High Performance Compilation, Computing and Communications
June 17 - 19, 2023
Jinan, China
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