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IEEE Latin America Transactions(2)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Communications in Computer and Information Science(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
RIAI - Revista Iberoamericana de Automatica e Informatica Industrial(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:googlescopusEcuadorian 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:googlescopusPedestrian detection at night based on faster R-CNN and far infrared images
Conference ObjectAbstract: This paper presents a pedestrian detection system focused on night time conditions for vehicular safPalabras claves:Faster R-CNN, Infrared, Multiple-scale, night, pedestrian, RPN, traffic accidentsAutores:Marco Javier Flores-Calero, Michelle A. Galarza-BravoFuentes:googlescopusPedestrian detection under partial occlusion by using logic inference, HOG and SVM
ArticleAbstract: This article presents an algorithm for the detection of pedestrians in urban driving environments duPalabras claves:ADAS, HOG, Logic Inference, occlusion, pedestrian, ROIs, SVM, traffic accidentsAutores:Gardel A., Lazaro J., Marco Javier Flores-Calero, Milton Aldás, Onofa N., Quinga B.Fuentes:scopus