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A Two-Stage Vision-Guided Autonomous Docking Method for Underwater Unmanned Vehicles: Integrating Long-Range Optical Beacon Guidance with Close-Range AprilTag-Based Pose Estimation

  • Jingyu Wang
  • , Yong Zhu
  • , Yifan Zhao
  • , Qi Ling
  • , Zhiyuan Pang*
  • , Bo Huang
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a two-stage vision-guided autonomous docking method for UUV docking in underwater environments. A green optical beacon is used for long-range guidance, while an AprilTag marker is adopted for close-range relative pose estimation and fine attitude adjustment. Combined with a self-attention mechanism and finite-state machine-based control, the proposed method improves docking robustness and precision under varying water-clarity conditions. The method provides a practical solution for reliable underwater autonomous docking.

Original languageEnglish
Title of host publication2026 IEEE 20th International Conference on Control and Automation, ICCA 2026
PublisherIEEE Computer Society
Pages1224-1229
Number of pages6
ISBN (Electronic)9798331548537
DOIs
StatePublished - 2026
Externally publishedYes
Event20th IEEE International Conference on Control and Automation, ICCA 2026 - Almaty, Kazakhstan
Duration: 16 Jun 202619 Jun 2026

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference20th IEEE International Conference on Control and Automation, ICCA 2026
Country/TerritoryKazakhstan
CityAlmaty
Period16/06/2619/06/26

Keywords

  • AprilTag pose estimation
  • finite-state machine control
  • global self-attention
  • optical beacon detection
  • UUV autonomous docking
  • vision-guided docking

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