Vision-based traffic sign compliance evaluation using convolutional neural network

• Main Authors: Roxas, Edison A., Acilo, Joshua N., Vicerra, Ryan Rhay P., Dadios, Elmer P., Bandala, Argel A.
• Format: text
• Published: Animo Repository 2018
• Subjects: Traffic monitoring; Computer vision; Traffic signs and signals—Control systems; Electrical and Computer Engineering; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1552; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2551/type/native/viewcontent
• Institution: De La Salle University

Manual monitoring of road signs compliance procedures are adapted by developing countries. As effective as this method is, the amount of time and funds needed to cover a large area is quite alarming. Thus, a need for a vision - based traffic sign detection and recognition system. However, while a ma...