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      Path Planning and Navigation of Oceanic Autonomous Sailboats and Vessels: A Survey

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          Abstract

          Oceanic autonomous surface vehicles (ASVs) are one kind of autonomous marine robots that have advantages of energy saving and is flexible to use. Nowadays, ASVs are playing an important role in marine science, maritime industry, and national defense. It could improve the efficiency of oceanic data collection, ensure marine transportation safety, and protect national security. One of the core challenges for ASVs is how to plan a safe navigation autonomously under the complicated ocean environment. Based on the type of marine vehicles, ASVs could be divided into two categories: autonomous sailboats and autonomous vessels. In this article, we review the challenges and related solutions of ASVs’ autonomous navigation, including modeling analysis, path planning and implementation. Finally, we make a summary of all of those in four tables and discuss about the future research directions.

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          Author and article information

          Journal
          JOUC
          Journal of Ocean University of China
          Science Press and Springer (China )
          1672-5182
          02 May 2020
          01 June 2020
          : 19
          : 3
          : 609-621
          Affiliations
          1Department of Computer Fundamentals, Ocean University of China, Qingdao 266100, China
          2College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
          3Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28233, USA
          4Department of Computer and Information Sciences, Temple University, Philadelphia, Pennsylvania 19122, USA
          Author notes
          *Corresponding author: LIU Chao, E-mail: liuchao@ 123456ouc.edu.cn
          Article
          s11802-020-4144-7
          10.1007/s11802-020-4144-7
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2020.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

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          Self URI (journal-page): https://www.springer.com/journal/11802

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