A Weight Adaptive Kalman Filter Localization Method Based on UWB and Odometry-Reference-Cited by-同舟云学术

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A Weight Adaptive Kalman Filter Localization Method Based on UWB and Odometry

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Robotics and Mechatronics (ICARM)
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Author:

Xu Tao¹,Zhang Hui²,Zhou Xidong²,Yuan Xiaofang¹,Tan Xuan¹,Zhang Jieqingxin³,Zhong Hang³

Affiliation:

1. Hunan University,College of Electrical and Information Engineering,Hunan,China

2. Hunan University,College of Robotics, Robot Visual Perception and Control Technology National Engineering Research Center,Hunan,China

3. Changsha University of Science and Tech-nology,College of Electrical and Information Engineering,Hunan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959088/9959097/09959604.pdf?arnumber=9959604

Reference17 articles.

1. A location method based on UWB for ward scene application

2. Mobile Robot Integrated Navigation Algorithm Based on Template Matching VO/IMU/UWB

3. UWB System for Indoor Positioning and Tracking with Arbitrary Target Orientation, Optimal Anchor Location, and Adaptive NLOS Mitigation

4. Adaptive Kalman Filtering for UWB Positioning in Following Luggage

5. Self-Positioning for Mobile Robot Indoor Navigation Based on Wheel Odometry, Inertia Measurement Unit and Ultra Wideband

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1. Robust Localization for Mobile Targets Along a Narrow Path With LoS/NLoS Interference;IEEE Internet of Things Journal;2024-06-01

2. A Review of Sensing Technologies for Indoor Autonomous Mobile Robots;Sensors;2024-02-14

3. UWB Non-Line-of-Sight Recognition and Suppression Methodology;2023 15th International Conference on Communication Software and Networks (ICCSN);2023-07-21

4. Peak Ratio Iteration-Based Leading-Edge Detection Algorithm in UWB Localization;Wireless Personal Communications;2023-06-03

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