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...

Full description

Bibliographic Details
Main Authors: Chen, M. (Author), Han, Z. (Author), Wu, Q. (Author), Zhu, H. (Author)
Format: Article
Language:English
Published: KeAi Communications Co. 2023
Subjects:
Artificial bees
Bee colony algorithms
Collaborative thinking
Distribution probability
Dynamics
Evolutionary algorithms
Forecasting
Ground threat prediction
Hybrid enhanced
Motion planning
Optimization
Path planning
Path planning method
Prediction-based
Probability distributions
Threat prediction
UAH
Unmanned aerial vehicles (UAV)
Unmanned autonomous helicopters
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items