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

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.

Journal

Journal ID (publisher-id): JOUC

Title: Journal of Ocean University of China

Publisher: Science Press and Springer (China )

ISSN (Electronic): 1672-5182

Publication date (Electronic): 02 May 2020

Publication date (Print): 01 June 2020

Volume: 19

Issue: 3

Pages: 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

Publisher ID: s11802-020-4144-7

DOI: 10.1007/s11802-020-4144-7

Copyright statement: Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2020.

License:

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).

Product

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