Indexado en
Licencia y uso
Citaciones
Análisis de autorías institucional
Da-Silva-Gomez R.Autor o CoautorRodriguez-Ramos A.Autor o CoautorPerez-Saura D.Autor o CoautorGp-Lenza G.Autor o CoautorCampoy P.Autor o CoautorReal-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision
Publicado en:2024 7th Iberian Robotics Conference, Robot 2024. - 2024-01-01 (), DOI: 10.1109/ROBOT61475.2024.10797412
Autores: Da-Silva-Gomez R; Rodriguez-Ramos A; Perez-Saura D; Gp-Lenza G; Palacios-Lopez F; Dominguez S; Redondo-Rodriguez A; Sanz-Merodio D; Rodriguez H; Campoy P; Lopez M
Afiliaciones
Resumen
This study employs computer vision techniques to address beach safety concerns, with a focus on camera-equipped UAVs. The UAVs provide five channels of information that require preprocessing and image alignment to remove noise. The main challenges addressed are the identification of dangerous areas and people detection. For segmentation tasks, several lightweight models were evaluated, with YOLOv8-seg demonstrating superior efficiency and computational lightness across diverse conditions. In people detection, YOLOv8 also shows suitable results, identifying beach users, bathers, swimmers, and surfers. These solutions enable the use of UAVs for beach monitoring, providing a foundation for applications that evaluate danger for individuals on the beach. The results demonstrate the models' effectiveness and their capability to be deployed in real-time on board the UAVs. © 2024 IEEE.
Palabras clave
Indicios de calidad
Análisis de liderazgo de los autores institucionales
Existe un liderazgo significativo ya que algunos de los autores pertenecientes a la institución aparecen como primer o último firmante, se puede apreciar en el detalle: Primer Autor (DA SILVA GOMEZ, RODRIGO) y Último Autor (Lopez M.).
