Author(s)

Fei Liao^*, BingLei Bao

Affiliation(s)

Department of Automation, University of Science and Technology of China, Hefei 230026, Anhui, China.

Corresponding Author

Fei Liao

ABSTRACT

The underwater visual-inertial navigation system (VINS) confronts significant challenges due to the adverse underwater visual environment, including light absorption and scattering, tiny suspended particles, color distortion, and image blurring. To address these issues, this paper introduces a multi-scale fusion-based image enhancement algorithm, integrating it into the front-end of underwater image enhancement techniques. This integration effectively enhances the performance of underwater localization. Experimental results on the Aqualoc underwater dataset demonstrate that the proposed method increases the number of extracted feature points and achieves more stable tracking, thereby reducing localization errors compared to traditional VINS approaches.

KEYWORDS

Underwater image enhancement; Underwater slam

CITE THIS PAPER

Fei Liao, BingLei Bao. Enhanced vins-based underwater localization with image enhancement. Journal of Computer Science and Electrical Engineering. 2025, 7(3): 11-20. DOI: https://doi.org/10.61784/jcsee3052.

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