Journal article
A survey of underwater docking guidance systems
Robotics and Autonomous Systems, Vol.124, Art. 103382
2020
Abstract
Autonomous underwater vehicles (AUVs) are increasingly being used for underwater survey and exploration missions. The expanding mission scope for AUVs highlights the need for a long-endurance operational capability, which mainly depends on propulsion system efficiency and battery capacity. The use of submerged docking stations permitting battery recharge and data download/upload offers a means of enabling persistence without compromising propulsion and payload power budgets, while also reducing associated deployment/recovery costs and risks. Autonomous docking with an underwater station is, however, complicated by the presence of currents and obstacles in the water, and by the relative dynamic differences in pose between the dock and the vehicle. A robust docking guidance system is identified as a core and crucial component for ensuring successful AUV docking. This paper presents a detailed literature review summarizing the current state-of-the-art in AUV docking guidance methodologies, identifying their relative merits and shortcomings, and revealing the docking guidance methodologies that seems to be the most prominent
Details
- Title
- A survey of underwater docking guidance systems
- Authors/Creators
- A.M. Yazdani (Author/Creator) - Flinders UniversityK. Sammut (Author/Creator) - Flinders UniversityO. Yakimenko (Author/Creator) - Naval Postgraduate SchoolA. Lammas (Author/Creator) - Flinders University
- Publication Details
- Robotics and Autonomous Systems, Vol.124, Art. 103382
- Publisher
- Elsevier
- Identifiers
- 991005542195007891
- Copyright
- © 2019 Elsevier B.V.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
Metrics
92 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.29 Automation & Control Systems
- 4.29.2772 Autonomous Underwater Vehicles
- Web Of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Robotics
- ESI research areas
- Engineering