Mostrando 10 resultados de: 24
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Universidad de las Fuerzas Armadas ESPE. Carrera de Ingeniería en Electrónica, Automatización y Control.(4)
RIAI - Revista Iberoamericana de Automatica e Informatica Industrial(3)
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5th IEEE International Smart Cities Conference, ISC2 2019(1)
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Automatic Recognition System for Traffic Signs in Ecuador Based on Faster R-CNN with ZFNet
Conference ObjectAbstract: This research presents an application of the Deep Learning technology in the development of an automPalabras claves:Computer Vision, deep learning, ECUADOR, Faster R-CNN, traffic accidents, Traffic signs, ZF-NetAutores:Gallegos J., Marco Javier Flores-Calero, Milton Aldás, Wilson Román, Zabala-Blanco D.Fuentes:googlescopusAdvance assistance system for driver's drowsiness detection
ArticleAbstract: Every day, statistics on traffic accidents reveal that human errors are the main cause of deaths andPalabras claves:Artificial Intelligent, Computer Vision, Driver, Drowsiness, Infrared illumination, traffic accidentsAutores:Armingol M J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusAlgoritmo de detección de peatones parcialmente ocluidos usando partes del cuerpo humano basado en inferencia lógica para aplicaciones de seguridad vehicular
Bachelor ThesisAbstract: Este proyecto desarrolla un algoritmo para la detección de peatones parcialmente ocluidos, usando viPalabras claves:Algoritmos, GENERACIÓN ROIs, MÉTODO SWP, PROGRAMACIÓN (MATEMÁTICAS), TRADUCCIÓN MECÁNICA, VEHÍCULOS - SEGURIDADAutores:Bryan Geovanny Quinga Chungandro, Marco Javier Flores-Calero, Noemí Eliana Onofa CuichánFuentes:rraaeEcuadorian regulatory traffic sign detection by using HOG features and ELM classifier
ArticleAbstract: This article presents an algorithm for Ecuadorian regulatory traffic signs detection, under extremePalabras claves:elm, hoc, regulatory traffic sign, traffic accidentsAutores:Jonathan Vargas, Marco Javier Flores-Calero, Maria Jose Ayala, Sanchez M.A.Fuentes:googlescopusEcuadorian 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:googlescopusDriver drowsiness detection system under infrared illumination for an intelligent vehicle
Conference ObjectAbstract: Statistics on traffic accidents reveal that human error is the main cause of deaths and injuries onPalabras claves:Autores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusDriver drowsiness warning system using visual information for both diurnal and nocturnal illumination conditions
ArticleAbstract: Every year, traffic accidents due to human errors cause increasing amounts of deaths and injuries glPalabras claves:Autores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusDriver's drowsiness detection based on visual information
Conference ObjectAbstract: In this paper, a new Driver Assistance System (DAS) for automatic driver's drowsiness detection basePalabras claves:Driver assistance system, Drowsiness, Intelligent transportation technology, object detection, Support Vector MachineAutores:Armingol J.M., De La Escalera A., Marco Javier Flores-CaleroFuentes:googlescopusEstimation of people flow in public transportation network through the origin-destination problem for the South-Eastern corridor of Quito city in the smart cities context
Conference ObjectAbstract: The present work proposes a model for estimation of users demand in the public transportation networPalabras claves:Bayesian inference, counting of passengers, origin destination matrix, Smart cities, Smart mobilityAutores:Antunez E.A., Larios-Rosillo V.M., Lina Patricia Zapata Molina, Maciel R., Marco Javier Flores-CaleroFuentes:googlescopusGeneration of regions of interest with high potential to contain pedestrians using non-dense 3D reconstruction from monocular vision
ArticleAbstract: Traffic accidents are a global public health problem, due to the high number of human victims and thPalabras claves:Accidents, Monocular vision, pedestrian, ROIs, Stereo vision, Traffic, TrajectoryAutores:Marco Javier Flores-Calero, Torres-Torriti M., Zubiaguirre-Bergen I.Fuentes:googlescopus