Real-Time Traffic Sign Detection and Recognition using CNN
Daniel Castriani Santos, Francisco Assis da Silva, Danillo Roberto Pereira, Leandro Luiz de Almeida, Almir Olivette Artero, Marco Antônio Piteri, Victor Hugo C. de Albuquerque
Abstract
Traffic signs presents on streets and highways have a distinct set of features which may be used to differentiate each one from each other. We propose in this paper a real-time traffic sign detection and recognition algorithm using neural networks. In order to detect traffic sign we used a Faster R-CNN (Region-Based Convolutional Neural Network), and to classify we used a Convolutional Neural Network using two different architectures. Some factors can make it difficult, such as light, occlusion, blurring, and others. This work can be applied in several areas, such as Advanced Driving Assistant System and autonomous cars.