Research on State Estimation Algorithm of Maze Robot Based on Multi-Sensor Fusion in Complex Environment-Reference-Cited by-同舟云学术

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Research on State Estimation Algorithm of Maze Robot Based on Multi-Sensor Fusion in Complex Environment

Published:2023-11-17 Issue: Volume:31 Page:189-195
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Su Baoyi¹,Dai Shenghua¹,Xi Qijia¹,Han Xinran¹

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451370.pdf?arnumber=10451370

Reference11 articles.

1. Multi-Sensor information fusions improved extended Kalman filter attitude determination;Zou;Application Research of Computers,2014

2. Research on multi-sensor fusion positioning system based on extended Kalman filter[D];Zou;Changsha University of Science and Technology,2017

3. UAV state estimation based on extended Kalman filter;Wang;Modern Information Technology,2022

4. An Improved Unscented Kalman Filter for Maneuvering Target Tracking*

5. Localization of mobile robot based on multi-sensor fusion

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