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Review of Path Planning for Autonomous Underwater Vehicles

Published: 20 September 2019 Publication History

Abstract

An autonomous underwater vehicle (AUV) is an important tool for the exploration and development of marine resources. Path planning plays an important role in the correct navigation and avoidance of obstacles by underwater robots in the sea. Firstly, according to different marine environmental conditions, AUV path planning is classified into two types. Then, the related algorithms of global path planning and local path planning are reviewed, and the key technologies, development status, advantages and disadvantages of related algorithms are combed. Finally, the development direction of the AUV in complex environment is prospected.

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Cited By

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  • (2023)Dodging Ships: Is New Jersey Vessel Traffic a Threat to Underwater Gliders?OCEANS 2023 - MTS/IEEE U.S. Gulf Coast10.23919/OCEANS52994.2023.10336971(1-5)Online publication date: 25-Sep-2023
  • (2023) Adapted D * Lite to Improve Guidance, Navigation and Control of a Tail-Actuated Underwater Vehicle in Unknown Environments IEEE Access10.1109/ACCESS.2023.328971911(64629-64650)Online publication date: 2023
  • (2022)Research on AUV Energy Saving 3D Path Planning with Mobility ConstraintsJournal of Marine Science and Engineering10.3390/jmse1006082110:6(821)Online publication date: 15-Jun-2022
  • Show More Cited By

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cover image ACM Other conferences
RICAI '19: Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
September 2019
803 pages
ISBN:9781450372985
DOI:10.1145/3366194
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2019

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Author Tags

  1. AUV
  2. Global path planning
  3. Local path planning
  4. Path planning

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  • Research-article
  • Research
  • Refereed limited

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RICAI 2019

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RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
Overall Acceptance Rate 140 of 294 submissions, 48%

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Cited By

View all
  • (2023)Dodging Ships: Is New Jersey Vessel Traffic a Threat to Underwater Gliders?OCEANS 2023 - MTS/IEEE U.S. Gulf Coast10.23919/OCEANS52994.2023.10336971(1-5)Online publication date: 25-Sep-2023
  • (2023) Adapted D * Lite to Improve Guidance, Navigation and Control of a Tail-Actuated Underwater Vehicle in Unknown Environments IEEE Access10.1109/ACCESS.2023.328971911(64629-64650)Online publication date: 2023
  • (2022)Research on AUV Energy Saving 3D Path Planning with Mobility ConstraintsJournal of Marine Science and Engineering10.3390/jmse1006082110:6(821)Online publication date: 15-Jun-2022
  • (2022)Application of A star algorithm in amphibious hull cleaning robot2022 IEEE International Conference on Mechatronics and Automation (ICMA)10.1109/ICMA54519.2022.9855911(269-273)Online publication date: 7-Aug-2022
  • (2021)Proactive Alarming-enabled Path Planning for Multi-AUV-based Underwater IoT Systems2021 Computing, Communications and IoT Applications (ComComAp)10.1109/ComComAp53641.2021.9652962(263-267)Online publication date: 26-Nov-2021
  • (2020)Segmented Approach to Path Planning2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC)10.1109/PDGC50313.2020.9315788(266-271)Online publication date: 6-Nov-2020

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