Design and implementation of SLAM technology and navigation technology in smart mobile device based on ROS system

Jinhang Zhang; Md. Sah Bin HJ Salam; Ling Yi; Xianpeng Li

doi:10.1117/12.3035246

19 July 2024 Design and implementation of SLAM technology and navigation technology in smart mobile device based on ROS system

Jinhang Zhang, Md. Sah Bin HJ Salam, Ling Yi, Xianpeng Li

Author Affiliations +

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132133R (2024) https://doi.org/10.1117/12.3035246
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Two main elements for the implementation of autonomous navigation in smart mobile devices are investigated. One is the simultaneous modeling and mapping of the environment, and the other is the autonomous navigation algorithm. Compared with ordinary mobile robots, track robots need both accuracy and speed. Through the study of SLAM technology and autonomous navigation algorithm, this paper proposes a set of autonomous navigation optimization scheme based on Teb algorithm, which realizes the rapid recognition and processing of target objects and road environment during the high-speed driving of intelligent mobile devices in the track, and ensures the safe, stable and fast driving of vehicles. This method improves and integrates local navigation algorithm and global navigation algorithm, and the experimental results prove that it has obvious improvement for mobile intelligent devices in indoor navigation, which has very important theoretical research value and practical application significance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinhang Zhang, Md. Sah Bin HJ Salam, Ling Yi, and Xianpeng Li "Design and implementation of SLAM technology and navigation technology in smart mobile device based on ROS system", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132133R (19 July 2024); https://doi.org/10.1117/12.3035246

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