CNN Design for Real-Time Traffic Sign Recognition

A Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set

Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...

An Active Vision System for Real-Time Traffic Sign Recognition

This paper presents an active vision system for realtime traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color, intensity, and shape information. For each candidate, the telephoto...

A parallel system for real–time traffic sign recognition

We present a system for the real–time recognition of traffic signs from a moving car on European highways. The traffic sign recognition system (TSR) was developed within the European PROMETHEUS project in cooperation with Daimler–Benz and is installed in an autonomous car. Our TSR is also intended to serve as a driver assistance tool. The TSR is based on a fast color image analysis. This analys...

Real-Time Traffic Sign Detection and Recognition Using GPU

This paper presents a Graphic Processing Unit (GPU) implementation of real-time traffic sign detection and recognition which can classify 48 classes of traffic signs in the library. The GPU-based system has three stages: pre-processing, feature extraction and classification. The proposed design is to optimize the tradeoff between accuracy and computing time which has not been well studied previ...

Real-time traffic sign recognition in three stages