Robot SLAM Method Based on Multi-Sensor Fusion

DOI: https://doi.org/10.62517/jes.202402215

Author(s)

Guan Jiwen

Affiliation(s)

Krirk University, Bangkok, Thailand

Abstract

This study presents an innovative multi-sensor fusion SLAM solution to address the significant error in particle proposal distribution, excessive particle resource consumption, and low algorithm execution efficiency encountered in traditional RBPF-SLAM algorithms in practical applications. The proposed solution aims to optimize the overall performance of the SLAM system by effectively integrating data from laser radar, inertial measurement unit (IMU), and wheel odometer, among other multi-source sensors.

Keywords

Multi-Sensor Fusion; Robots; SLAM

References

[1] Feng Jinhua, Yuan Bo, Zhu Fumin. SLAM diagram of multi-sensor positioning and fusion of mobile robot [J]. Industrial control computer, 2024,37(3):78-80. [2] Cai Mingzhu, Liu Xiaoyan, Tang Zhiwei. Research on ROS service robot based on multi-sensor fusion SLAM [J]. Laboratory research and exploration, 2024,43(2):65-70. [3] Tang Yuanwen, Liu Zuoshi. Research on multi-sensor fusion SLAM of mobile robots in complex environments [J]. Manufacturing Automation, 2023,45(8):108-112,166. [4] Ma Guoli, Zhu Xiaochun, Chen Zitao. A new SLAM method for multi-sensor fusion of mobile robots [J]. Manufacturing Automation, 2022,44(5):70-74. [5] Xu Shuping, Yang Dingzhe, Xiong Xiaodun. Multi-sensor fusion indoor robot SLAM[J]. Journal of Xi'an University of Technology, 2024,44(1):93-103.