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  4. Vol 9, Issue 1, 2025

A Review of Common Datasets and Advanced Algorithms of Visual SLAM in Dynamic Scenes

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DOI: 10.23977/acss.2025.090101 | Downloads: 47 | Views: 869

Author(s)

Dazheng Wang 1

Affiliation(s)

1 Yunnan Normal University, Kunming, Yunnan, China

Corresponding Author

Dazheng Wang

ABSTRACT

Simultaneous Localization and Mapping (SLAM) technology can help mobile intelligent robots to understand and perceive scenes in unknown environments, so it is playing an increasingly important role in the fields of intelligent robots, intelligent cars, and so on. And because camera sensors have wide applicability, visual SLAM in dynamic scenes has become a relatively popular research direction in recent years. And the SLAM algorithm needs to be tested and validated, which requires choosing appropriate datasets based on different application scenarios. Therefore, this paper comprehensively introduces the excellent open-source data sets commonly used in the research of visual SLAM. Since deep learning networks are often used to improve the performance of the SLAM system, this paper summarizes the advanced techniques in recent years for solving the common problems of visual SLAM in dynamic scenes based on deep learning networks.
 

KEYWORDS

visual SLAM, dataset, dynamic scenes, deep learning networks, robots

CITE THIS PAPER

Dazheng Wang, A Review of Common Datasets and Advanced Algorithms of Visual SLAM in Dynamic Scenes. Advances in Computer, Signals and Systems (2025) Vol. 9: 1-7. DOI: http://dx.doi.org/10.23977/acss.2025.090101.

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