Marco Flores-Calero

Universidad Carlos III de Madrid, Universidad de las Fuerzas Armadas ESPE

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About

Marco Flores-Calero is a researcher whose work lies at the intersection of intelligent transportation systems and computer vision. His key research areas include autonomous vehicle navigation, traffic sign detection, and visual information processing for intelligent vehicles. Flores-Calero's most significant contribution is the development of the "IVVI: Intelligent Vehicle Based on Visual Information" system (2007, 45 citations), which established foundational approaches for using visual data in vehicular automation. He has also made notable advances in traffic infrastructure recognition, particularly through his work on "Traffic Sign Detection System for Locating Road Intersections and Roundabouts: The Chilean Case" (2017, 13 citations). This study introduced a novel method using statistical templates and color-based segmentation to detect critical signs like stop and yield signs near intersections and roundabouts, addressing specific challenges in the Chilean road context. His research demonstrates a practical, application-driven approach to solving real-world transportation problems, combining robust computer vision techniques with intelligent vehicle systems. Flores-Calero's work continues to influence the development of safer, more efficient autonomous driving technologies, particularly in Latin American road environments.