Multi-Dimensional Guidance System with Adaptive Algorithm and Lightweight Model for AUV Underwater Optical Docking

Underwater optical docking is essential for enabling autonomous underwater vehicles (AUVs) to maintain long-duration operations through standardized energy replenishment and data exchange. However, existing optical docking guidance still faces challenges including discontinuous guidance space, fluctuating beacon visibility, and limited real-time feasibility on resource-constrained AUV platforms. This study proposes a three-layer underwater optical guidance framework designed to enhance both stability and deployment feasibility. First, a multi-dimensional beacon configuration is developed to provide stage-based optical guidance, supported by a spatial simulation tool that evaluates beacon placement and effective detection regions. Second, an adaptive spatiotemporal guidance algorithm is introduced, integrating Kalman-based prediction and correction mechanisms to maintain consistent beacon tracking under dynamic underwater conditions. Third, a lightweight optical beacon detection model is implemented to reduce computational cost while preserving sufficient detection accuracy for real-time onboard processing. Pool and lake experiments demonstrate that the proposed framework achieves continuous optical guidance over a range of 0–35 m, significantly improving guidance stability and perception continuity compared with conventional approaches.

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Publication Details

Journal
Drones
Published
2025-12-14
DOI
https://doi.org/10.3390/drones9120861
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Dimensional Guidance System with Adaptive Algorithm and Lightweight Model for AUV Underwater Optical Docking

Wen Zhu, Y. Li, Kai Sun
Drones
Underwater Vehicles and Communication Systems
article

Multi-Dimensional Guidance System with Adaptive Algorithm and Lightweight Model for AUV Underwater Optical Docking

Wen Zhu, Y. Li, Kai Sun
article en

Abstract

Underwater optical docking is essential for enabling autonomous underwater vehicles (AUVs) to maintain long-duration operations through standardized energy replenishment and data exchange. However, existing optical docking guidance still faces challenges including discontinuous guidance space, fluctuating beacon visibility, and limited real-time feasibility on resource-constrained AUV platforms. This study proposes a three-layer underwater optical guidance framework designed to enhance both stability and deployment feasibility. First, a multi-dimensional beacon configuration is developed to provide stage-based optical guidance, supported by a spatial simulation tool that evaluates beacon placement and effective detection regions. Second, an adaptive spatiotemporal guidance algorithm is introduced, integrating Kalman-based prediction and correction mechanisms to maintain consistent beacon tracking under dynamic underwater conditions. Third, a lightweight optical beacon detection model is implemented to reduce computational cost while preserving sufficient detection accuracy for real-time onboard processing. Pool and lake experiments demonstrate that the proposed framework achieves continuous optical guidance over a range of 0–35 m, significantly improving guidance stability and perception continuity compared with conventional approaches.

DronesVol. 9(12)
Shenyang Institute of Automation (CN), University of Chinese Academy of Sciences (CN)
State Key Laboratory of Robotics
Openalex Percentile: Top 51%
Underwater Vehicles and Communication Systems
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Multi-Dimensional Guidance System with Adaptive Algorithm and Lightweight Model for AUV Underwater Optical Docking — Wen Zhu, Y. Li, et al. · Drones (2025) | TGRS Research Map | TGRS