Ground threat prediction-based path planning of unmanned autonomous helicopter using hybrid enhanced artificial bee colony algorithm

Ground threat prediction-based path planning of unmanned autonomous helicopter using hybrid enhanced artificial bee colony algorithm

Unmanned autonomous helicopter (UAH) path planning problem is an important component of the UAH mission planning system. Aiming to reduce the influence of non-complete ground threat information on UAH path planning, a ground threat prediction-based path planning method is proposed based on artificia...

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Bibliographic Details
Main Authors: Zengliang Han, Mou Chen, Haojie Zhu, Qingxian Wu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-02-01
Series:Defence Technology
Subjects:
UAH
Path planning
Ground threat prediction
Hybrid enhanced
Collaborative thinking
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914723001071

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http://www.sciencedirect.com/science/article/pii/S2214914723001071

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