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Path Planning with Improved Curve Boundary Generation for Unmanned Surface Vehicle

  • Southeast University, Nanjing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a search-optimization-based path planning strategy for Unmanned Surface Vehicle (USV) is proposed by improving the boundary generation method. Compared with the existing sampling or graph theory approaches, both the accuracy and the efficiency of collision detection are considered in the proposed strategy. The path parameterization method provided in this paper can obtain a smoother continuous path within a reasonable time-consuming range, making it more compatible with speed or trajectory planning. Finally, numerical simulations are performed to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2022 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665452151
DOIs
StatePublished - 2023
Externally publishedYes
Event1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022 - Shenyang, China
Duration: 14 Jan 202315 Jan 2023

Publication series

Name2022 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022

Conference

Conference1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022
Country/TerritoryChina
CityShenyang
Period14/01/2315/01/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Unmanned Surface Vehicle (USV)
  • improved boundary generation
  • path parameterization
  • path planning

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