Multi-Sensor Fusion Framework for Reliable Localization and Trajectory Tracking of Mobile Robot by Integrating UWB, Odometry, and AHRS
This paper presents a multi-sensor fusion framework for the accurate indoor localization and trajectory tracking of a differential-drive mobile robot. The proposed system integrates Ultra-Wideband (UWB) trilateration, wheel odometry, and Attitude and Heading Reference System (AHRS) data using a Kalm...
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Main Authors: | Quoc-Khai Tran, Young-Jae Ryoo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
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Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/10/7/478 |
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