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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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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: Opromolla, Roberto, Fasano, Giancarmine, Accardo, Domenico
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6210765/
https://ncbi.nlm.nih.gov/pubmed/30309035
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18103391
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