A Kalman-Particle Hybrid Filter For Improved Localization of AGV In Indoor Environment-Reference-Cited by-同舟云学术

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A Kalman-Particle Hybrid Filter For Improved Localization of AGV In Indoor Environment

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)
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Author:

Zeghmi Lotfi¹,Amamou Ali¹,Kelouwani Sousso¹,Boisclair Jonathan¹,Agbossou Kodjo¹

Affiliation:

1. Hydrogen Research Institute, Université du Québec à Trois-Rivières,Trois-Rivières,Canada

Funder

Science and Engineering Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10092949/10092953/10093002.pdf?arnumber=10093002

Reference24 articles.

1. An Improved Technique for Robot Global Localization in Indoor Environments

2. Outdoor robot navigation using Gmapping based SLAM algorithm

3. Design and use paradigms for gazebo, an open-source multi-robot simulator

4. Approximate K-D tree search for efficient ICP

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