Research and Application Analysis of Global Path Planning Method Based on Radar and Vision in Robot SLAM

Tianxiang Lan

doi:10.54254/2755-2721/2025.17859

Research Article

Open access

Published on 29 November 2024

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Lan,T. (2024). Research and Application Analysis of Global Path Planning Method Based on Radar and Vision in Robot SLAM. Applied and Computational Engineering,112,8-14.

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Research and Application Analysis of Global Path Planning Method Based on Radar and Vision in Robot SLAM

Tianxiang Lan *^,1,

¹ Information School, North China University of Technology, Beijing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.17859

Abstract

In recent years, the production scale of robots has become larger and larger, involving all aspects of society. Many industries are beginning to introduce robots and use them to better development and production. At the same time, autonomous driving is also a promising research direction, which is expected to reach 8 million autonomous vehicles by 2030, and the passenger car market will account for about 13% of total passenger miles. Autonomous driving will also bring many benefits to people, such as freeing up an average of 50 minutes of extra time for drivers per day, which can reduce accidents by more than 90%. Whether it is a robot or a self-driving car, the most important and critical goal is to ensure that the target task can be completed safely and quickly. Simultaneous localization and mapping (SLAM) technology can better help robots achieve this goal. In this paper, laser SLAM, visual SLAM and laser-visual SLAM algorithms are introduced, and then some related applications are shown. Finally, the future development prospect of SLAM should pay more attention to multi-sensor fusion algorithm.

Keywords

Simultaneous localization and mapping, Automatic driving, Laser radar, Cameras.

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References

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Cite this article

Lan,T. (2024). Research and Application Analysis of Global Path Planning Method Based on Radar and Vision in Robot SLAM. Applied and Computational Engineering,112,8-14.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/

ISBN：978-1-83558-747-8(Print) / 978-1-83558-748-5(Online)

Conference date: 12 January 2025

Editor：Stavros Shiaeles

Series: Applied and Computational Engineering

Volume number: Vol.112

ISSN：2755-2721(Print) / 2755-273X(Online)

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