A Probabilistic–Geometric Approach for UAV Detection and Avoidance Systems †

This paper proposes a collision avoidance algorithm for the detection and avoidance capabilities of Unmanned Aerial Vehicles (UAVs). The proposed algorithm aims to ensure minimum separation between UAVs and geofencing with multiple no-fly zones, considering the sensor uncertainties. The main idea is...

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Detalles Bibliográficos
Autores principales: Lee, Hae-In, Shin, Hyo-Sang, Tsourdos, Antonios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738709/
https://www.ncbi.nlm.nih.gov/pubmed/36501932
http://dx.doi.org/10.3390/s22239230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738709/
https://www.ncbi.nlm.nih.gov/pubmed/36501932
http://dx.doi.org/10.3390/s22239230

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