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2020 IEEE ANDESCON, ANDESCON 2020(1)
Ingenius(1)
RIAI - Revista Iberoamericana de Automatica e Informatica Industrial(1)
Sensors (Switzerland)(1)
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Ecuadorian traffic sign detection through color information and a convolutional neural network
Conference ObjectAbstract: This article develops an algorithm for the detection and recognition of regulatory and warning traffPalabras claves:COLOR, deep learning, ECUADOR, Regulatory sign, traffic accidents, Warning signAutores:Gallegos J., Gonzalo Patricio Espinel, José Luis Carrillo-Medina, Marco Javier Flores-Calero, Marco V. Gualsaquí, Maria Jose Ayala, Patricio VizcainoFuentes:googlescopusPedestrian detection at daytime and nighttime conditions based on YOLO-v5
ArticleAbstract: This paper presents new algorithm based on deep learning for daytime and nighttime pedestrian detectPalabras claves:COLOR, deep learning, Infrared, multispectral, pedestrian, Yolo-v5Autores:Bryan Montenegro, Marco Javier Flores-CaleroFuentes:googlescopusTraffic sign detection system for locating road intersections and braking advance
ArticleAbstract: This paper describes a system for traffic sign detection from surrounding traffic intersections andPalabras claves:accidentes, CHILE, COLOR, Distancia, Palabras clave Intersección vial, plantillas estadísticas, señales de tráficoAutores:Marco Javier Flores-Calero, Torres-Torriti M., Villalón-Sepúlveda G.Fuentes:scopusTraffic sign detection system for locating road intersections and roundabouts: The chilean case
ArticleAbstract: This paper presents a traffic sign detection method for signs close to road intersections and roundaPalabras claves:Accidents, COLOR, Road intersection, Roundabouts, Statistical template, Traffic signsAutores:Marco Javier Flores-Calero, Torres-Torriti M., Villalón-Sepúlveda G.Fuentes:googlescopus