Research on visual SLAM for dynamic scenes

Xincheng Xu

doi:10.54254/2755-2721/12/20230291

Research Article

Open access

Published on 25 September 2023

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Xu,X. (2023). Research on visual SLAM for dynamic scenes. Applied and Computational Engineering,12,34-38.

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Research on visual SLAM for dynamic scenes

Xincheng Xu *^,1,

¹ Shanghai University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/12/20230291

Abstract

Simultaneous Localization and Mapping (SLAM) technology has many applications, such as intelligent robots, autonomous driving, and smart cities. It is a key technology for achieving autonomous robot navigation and environmental awareness. Robots need to perceive the surrounding environment in real-time and construct maps while conducting autonomous localization and path planning, which involves algorithms of SLAM technology. This article aims to introduce the research on visual SLAM algorithms in dynamic scenes. This article will first introduce the traditional SLAM algorithm, its research status, and its limitations. Next, introduce the research on the visual SLAM algorithm in dynamic scenes. Finally, the current visual SLAM algorithm's problems and future research directions were discussed. The research in this article will have significant value for the research and application of autonomous robot navigation, environmental perception, and smart cities.

Keywords

SLAM, dynamic scene, intelligent perception, smart city.

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References

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Cite this article

Xu,X. (2023). Research on visual SLAM for dynamic scenes. Applied and Computational Engineering,12,34-38.

Data availability

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 2023 International Conference on Mechatronics and Smart Systems

Conference website: https://2023.confmss.org/

ISBN：978-1-83558-013-4(Print) / 978-1-83558-014-1(Online)

Conference date: 24 June 2023

Editor：Seyed Ghaffar, Alan Wang

Series: Applied and Computational Engineering

Volume number: Vol.12

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

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