A positioning method for AUV based on guiding light source

This paper proposes a method for determining the position of underwater vehicles using light vision guidance. In order to solve the problem of limited perception distance and unclear underwater images, the illumination device is installed on the recovery platform as a light source to enhance the feature information of the recovery platform. The collected underwater light source images are enhanced by the dark channel prior defogging algorithm, and then the YOLOv5 algorithm is used to recognize the targets. Through experiments, it is verified that the image enhancement algorithm and target recognition algorithm are effective. Using the recognition results, the positioning accuracy of the binocular camera ranging algorithm is verified, and the results indicate that the proposed method can accurately determine the distance of the AUV relative to the recovery platform.

Authors

Publication Details

Journal
Advances in Computer and Engineering Technology Research
Published
2024-12-06
DOI
https://doi.org/10.61935/acetr.4.1.2024.p16
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
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article

A positioning method for AUV based on guiding light source

Wenyuan Ren, Hongwei Du, Kai You Wang, Yang Duan
Advances in Computer and Engineering Technology Research
Robotics and Sensor-Based Localization
article

A positioning method for AUV based on guiding light source

Wenyuan Ren, Hongwei Du, Kai You Wang, Yang Duan
article en

Abstract

This paper proposes a method for determining the position of underwater vehicles using light vision guidance. In order to solve the problem of limited perception distance and unclear underwater images, the illumination device is installed on the recovery platform as a light source to enhance the feature information of the recovery platform. The collected underwater light source images are enhanced by the dark channel prior defogging algorithm, and then the YOLOv5 algorithm is used to recognize the targets. Through experiments, it is verified that the image enhancement algorithm and target recognition algorithm are effective. Using the recognition results, the positioning accuracy of the binocular camera ranging algorithm is verified, and the results indicate that the proposed method can accurately determine the distance of the AUV relative to the recovery platform.

Advances in Computer and Engineering Technology ResearchVol. 1(4)
Life below water
Openalex Percentile: Top 64%
Robotics and Sensor-Based Localization
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A positioning method for AUV based on guiding light source — Wenyuan Ren, Hongwei Du, et al. · Advances in Computer and Engineering Technology Research (2024) | TGRS Research Map | TGRS