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Path Planning Based on Electronic Navigational Charts for USV

Published: 18 July 2023 Publication History

Abstract

The path planning technology is the foundation of Unmanned Surface Vehicle(USV), and is the key to ensure the safety, efficiency and reliability of USV . This paper studies the global path planning technology of USV using the improved A* algorithm. The motion model of the USV is built and simplified under the some feasible assumptions. Then Based on two-dimensional electronic navigational charts and through the feasibility analysis of elements on the ENC.We use Photoshop software for electronic navigational charts classification, and use Matlab coding grid ENC environment model. Then using the improved A* algorithm to plan the optimal path, and evaluating and optimizing the planned path, finally reseting into the Electronic Navigational Chart. According to these steps, this paper realizes the Unmanned Surface Vehicle global path planning. The simulation results prove the effectiveness of A* algorithm for path planning to avoid the obstacle of USV.

References

[1]
Li Wei, Li Tianwei, Zhang Shangyue, 2012. Development and prospect of surface unmanned craft technology. Ship Electronic Engineering, 41 (4): 4.
[2]
Dong Xiaoming. 2021. An overview of the Marine unmanned equipment system . Harbin Engineering University Press, 1st edition.
[3]
Wang Shuo. Research on Unmanned Boat Path Planning Algorithm based on COLREGs . Harbin Engineering University.
[4]
He Jian. 2017. An AGV Path Planning Algorithm Based on Visual Label. Southeastern University.
[5]
Jia Maoliang. 2018. ENC-based unmanned boat path planning . Tianjin University of Technology.
[6]
Jiang Zhou. Research on the path planning algorithm for water surface drones . Huazhong University of Science and Technology HUST.

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          RobCE '23: Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering
          May 2023
          255 pages
          ISBN:9781450398107
          DOI:10.1145/3598151
          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 the author(s) 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: 18 July 2023

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          Author Tags

          1. A*algorithm
          2. Electronic Navigational Charts(ENC)
          3. Unmanned Surface Vehicle(USV)
          4. global Path Planning
          5. raster method

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