A Self-Heuristic Ant-Based Method for Path Planning of Unmanned Aerial Vehicle in Complex 3-D Space With Dense U-Type Obstacles

A Self-Heuristic Ant-Based Method for Path Planning of Unmanned Aerial Vehicle in Complex 3-D Space With Dense U-Type Obstacles

Optimal path planning is required in autonomous navigation and intelligent control of the unmanned aerial vehicle (UAV). However, as a kind of common obstacles in complex three-dimensional (3-D) spaces, U-type obstacles may cause UAV to be confused and even lead to a collision or out of control. Alt...

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Bibliographic Details
Main Authors: Chao Zhang, Chenxi Hu, Jianrui Feng, Zhenbao Liu, Yong Zhou, Zexu Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Ant colony optimization
path planning
self-heuristic ant
Online Access:https://ieeexplore.ieee.org/document/8863365/

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