Fast and robust road sign detection in driver assistance systems

Detection and Recognition of Multi-language Traffic Sign Context by Intelligent Driver Assistance Systems

Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...

Automated Traffic Sign Detection for Modern Driver Assistance Systems

Design an Intelligent Driver Assistance System Based On Traffic Sign Detection with Persian Context

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...

Driver Assistance: Contemporary Road Safety

Despite a trend towards increased road safety, fatal and/or serious accidents induce a significant toll each year. We work towards improved road safety through the development of an intelligent driver assistance system that monitors the driver’s performance and assists with vehicle guidance. This complex task is decomposed into subsystems including lane-keeping, obstacle avoidance, sign detecti...

On-road obstacle detection system for driver assistance

Obstacle detection is an active research area in the field of image processing. On road obstacle detection is an important problem in the area of intelligent transportation systems, driver assistance systems and automated guided vehicles. The proposed algorithm detects all obstacles on road using a single onboard camera which is mounted on a travelled vehicle in real-time for driver assistance....