Method of Emergency Collision Avoidance for Unmanned Surface Vehicle (USV) Based on Motion Ability Database Cover

.blurhash-client-img { display: none !important; }

Method of Emergency Collision Avoidance for Unmanned Surface Vehicle (USV) Based on Motion Ability Database

Polish Maritime Research

Volume 26 (2019): Issue 2 (June 2019)

By: Lifei Song, Houjing Chen, Wenhao Xiong, Zaopeng Dong, Puxiu Mao, Zuquan Xiang and Kai Hu

Open Access

|Jul 2019

Authors

Lifei Song

songlifei@whut.edu.cn

Key Laboratory of High Performance Ship Technology (Wuhan University of Technology), Ministry of Education, Wuhan, China

School of Transportation, Wuhan University of Technology, China

Houjing Chen

Hawking2006@sina.cn

Key Laboratory of High Performance Ship Technology (Wuhan University of Technology), Ministry of Education, Wuhan, China

China Ship Development and Design Center, Wuhan, China

Wenhao Xiong

2569403518@qq.com

School of Transportation, Wuhan University of Technology, China

Zaopeng Dong

dongzaopeng@whut.edu.cn

School of Transportation, Wuhan University of Technology, China

Puxiu Mao

Puxiumao@usc.edu

University of Southern California, Los Angeles

Zuquan Xiang

xiangzuquan@whut.edu.cn

School of Transportation, Wuhan University of Technology, China

Kai Hu

China Ship Development and Design Center, Wuhan, China

DOI: https://doi.org/10.2478/pomr-2019-0025 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585

Journal RSS Feed

Language: English

Page range: 55 - 67

Published on: Jul 12, 2019

Published by: Gdansk University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Unmanned surface vehicle,

emergency collision avoidance,

velocity obstacle method,

Related subjects:

Introductions and overviews,

Engineering, other,

Atmospheric science and climatology,

Life sciences, other

© 2019 Lifei Song, Houjing Chen, Wenhao Xiong, Zaopeng Dong, Puxiu Mao, Zuquan Xiang, Kai Hu, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous article Volume 26 (2019): Issue 2 (June 2019)Next article