Abstract

Unmanned Surface Vehicle (USV) becomes the key point of the development of intelligent marine equipment at home and abroad with its wide application prospects. Path Planning is one of the key technologies for autonomous control of USV. In this paper, a global path planning method for USV based on intelligent water drops (IWD) algorithm is proposed. Aiming at the disadvantage of slow convergence speed caused by the lack of heuristic ability of IWD in USV path planning, an improved IWD (IIWD) algorithm based on multi-objective heuristic function is put forward. Experiments have been conducted, and the results show that IIWD algorithm converges faster and obtains shorter path than IWD algorithm and that IIWD algorithm is very fit to solve the USV path planning problem.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.