An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty

An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty

This paper presents a sampling-based approximation for multiple unmanned aerial vehicle (UAV) task allocation under uncertainty. Our goal is to reduce the amount of calculations and improve the accuracy of the algorithm. For this purpose, Gaussian process regression models are constructed from an un...

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Bibliographic Details
Main Authors: Xiaowei Fu, Hui Wang, Bin Li, Xiaoguang Gao
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
uncertainty
multi-UAVs
task allocation
active learning
manifold learning
Online Access:http://www.mdpi.com/1424-8220/18/8/2645

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