Skip to content

A simulation study of simple local path planning and control for unmanned surface vehicles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

The present study provides a fundamental but necessary review and implementation of collision avoidance and path planning techniques based on 2D plane kinematics of a small test vessel. The developed path planning logics first consider a single obstacle avoidance scenario, and then move on to tackle multiple obstacle avoidance based on more realistic obstacle and environment representations using multiple overlapping circles of various sizes and positions. The manuscript elaborates the development process step by step with all codes provided in order to introduce the path planning and simulation workflow as a laid tutorial for learners and researchers entering the field.
Original languageEnglish
Title of host publicationGlobal Oceans 2020: Singapore – U.S. Gulf Coast
PublisherIEEE
Pages1-10
Number of pages10
ISBN (Electronic)978-1-7281-5446-6
ISBN (Print)978-1-7281-8409-8
DOIs
Publication statusPublished - 9 Apr 2021
EventGlobal Oceans 2020: Singapore – U.S. Gulf Coast - Biloxi, United States
Duration: 5 Oct 202014 Oct 2020

Publication series

NameIEEE Global Oceans Proceedings Series
PublisherIEEE
ISSN (Print)0197-7385

Conference

ConferenceGlobal Oceans 2020: Singapore – U.S. Gulf Coast
CountryUnited States
CityBiloxi
Period5/10/2014/10/20

Documents

  • A simulation study

    Rights statement: © © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Accepted author manuscript (Post-print), 2.89 MB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 27393223