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AUV underwater visual guided docking based on deep learning localization algorithm

delete2026-01-20
delete0
PRE
AI
Z
Ziming Zhao
B
Bo Wang *
Z
Zhuoyan Liu
王立志 cover
王立志 (Lizhi Wang)
Y
Yunfeng Li
Y
Ye Li
DOI：10.1016/j.oceaneng.2026.124337delete
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Abstract

Abstract

En 中文
• An docking method for AUVs achieving a minimum pixel error of 6.56 is proposed. • A guiding light positioning method based on deep neural network is developed. • The lightweight GLLNet achieves a higher mAP of 71.6% with only 4.5M parameters. • A fuzzy adaptive docking control method based on PID and S-surface is improved.

Journal

Ocean Engineering cover
Ocean Engineering
IF:
5.5
Papers:
5.7K
Citations:
7.6W

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No organization information available