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  4. Vol 7, Issue 10, 2023

Overview of Visual SLAM Technology: From Traditional to Deep Learning Methods

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DOI: 10.23977/acss.2023.071011 | Downloads: 25 | Views: 409

Author(s)

Keting Huang 1

Affiliation(s)

1 Shenyang Ligong University, Shenyang, Liaoning, China

Corresponding Author

Keting Huang

ABSTRACT

SLAM refers to the problem of simultaneous localization and mapping (SLAM) of mobile robots in unknown environments. With the development of robot technology and artificial intelligence technology, SLAM has become an important technology and is widely used in all aspects of production and life. The importance of SLAM is self-evident for autonomous vehicles. SLAM is a very strange field for most people. In the wave of artificial intelligence, more and more enterprises and universities have invested in the research of visual SLAM. In this paper, we will introduce several classic visual SLAM algorithms and discuss their applications in the robot field, propose some problems in the current SLAM research field, and look forward to the future development direction of visual SLAM research.

KEYWORDS

Simultaneous localization and mapping; Laser SLAM; Visual SLAM; Deep learning; Map construction

CITE THIS PAPER

Keting Huang, Overview of Visual SLAM Technology: From Traditional to Deep Learning Methods. Advances in Computer, Signals and Systems (2023) Vol. 7: 76-81. DOI: http://dx.doi.org/10.23977/acss.2023.071011.

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