A Vision-Based Approach to UAV Detection and Tracking in Cooperative Applications

This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect and track a cooperative flying vehicle autonomously using a monocular camera. The algorithms are based on template matching and morphological filtering, thus being able to operate within a wide range o...

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Detalles Bibliográficos
Autores principales: Opromolla, Roberto, Fasano, Giancarmine, Accardo, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210765/
https://www.ncbi.nlm.nih.gov/pubmed/30309035
http://dx.doi.org/10.3390/s18103391

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210765/
https://www.ncbi.nlm.nih.gov/pubmed/30309035
http://dx.doi.org/10.3390/s18103391

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