Collision Avoidance Planning Method of USV Based on Improved Ant Colony Optimization Algorithm

In order to solve the problem of insufficient search ability of the unmanned surface vehicle (USV) collision avoidance planning algorithm, this paper proposes an improved ant colony optimization algorithm (ACO). First, aiming at the static unknown environment, in order to improve the real-time perfo...

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Bibliographic Details
Main Authors: Hongjian Wang, Feng Guo, Hongfei Yao, Shanshan He, Xin Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8676280/