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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Detalles Bibliográficos
Autores principales: Fu, Xiaowei, Wang, Hui, Li, Bin, Gao, Xiaoguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111736/
https://www.ncbi.nlm.nih.gov/pubmed/30103561
http://dx.doi.org/10.3390/s18082645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111736/
https://www.ncbi.nlm.nih.gov/pubmed/30103561
http://dx.doi.org/10.3390/s18082645

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