Path planning for unmanned surface vehicle based on predictive artificial potential field

The path planning for high-speed unmanned surface vehicle raises more complicated requirements to reduce sailing time and save energy. In this article, a new predictive artificial potential field is proposed using time information and predictive potential to plan a smoother path. The principle of ar...

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Bibliographic Details
Main Authors: Jia Song, Ce Hao, Jiangcheng Su
Format: Article
Language:English
Published: SAGE Publishing 2020-04-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881420918461