Indoor Mobile Robot Positioning using Sensor Fusion-Reference-Cited by-同舟云学术

Indoor Mobile Robot Positioning using Sensor Fusion

Published:2022-07-29 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Green Technology and Sustainable Development (GTSD)
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Author:

Nguyen Trong Tai¹,Ngo Dang Hien²,Nguyen Quoc Truong²,Tran Duc Thien³,Dang Xuan Ba³

Affiliation:

1. Ho Chi Minh City University of Technology (HCMUT), Vietnam National University,Faculty of Electrical & Electronics Engineering,Ho Chi Minh City,VietNam

2. Graduate School, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University,Faculty of Electrical & Electronics Engineering,Ho Chi Minh City,VietNam

3. HCM City University of Technology and Education,Faculty of Electrical and Electronics Engineering,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987719/9988752/09989084.pdf?arnumber=9989084

Reference16 articles.

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2. Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques

3. A Novel Cooperative Localization Method Based on IMU and UWB

4. An indoor location algorithm based on Kalman filter fusion of ultra-wide band and inertial measurement unit

5. Localization of legged robots combining a fuzzy-Markov method and a population of extended Kalman filters

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