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Time-consuming Calculation and Simulation of Unmanned Surface Vessel (USV) Steering Based on Dynamic Window Approach (DWA)

Published: 14 October 2022 Publication History

Abstract

The conventional dynamic window approach (DWA) model lacks the time planning capability when simulating the steering process of an unmanned surface vessel (USV). In this paper, we propose a steering time-consuming calculation based on the DWA method in an actual context. In this study, the channel environment model established by the MATLAB software is examined, and the DWM model is modified to calculate the time-consuming steering process of an underwater vessel. Simulations with different steering angles are conducted to verify the applicability and effectiveness of the model in solving this problem of underwater vessel steering in an actual environment. A set of parameters such as heading deviation weight, safety distance weight, sailing speed weight, and simulated trajectory time are selected, and the optimized parameters are screened out according to their sensitivity to the results. The research results show that our proposed method can improve the USV planning ability and enhance the effectiveness of handling related path planning problems.

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ICCIR '22: Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics
June 2022
905 pages
ISBN:9781450397179
DOI:10.1145/3548608
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: 14 October 2022

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ICCIR 2022

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Overall Acceptance Rate 131 of 239 submissions, 55%

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