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Enhanced Vins-based Underwater Localization With Image Enhancement

Year: 2025

Type: article

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.

Source: Journal of Computer Science and Electrical Engineering

DOI: 10.61784/jcsee3052

Authors: Fei Liao, BingLei Bao

Institution: University of Science and Technology of China

Language: English

Topic: Underwater Vehicles and Communication Systems

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4409038741

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