Road Traffic Regulations (Straßenverkehrsordnung; StVO) define legal road use on public streets. In particular, they describe the meaning and appropriation of traffic signs by means of which road use restrictions can be adopted. Traffic regulation orders become legally binding when they are announced by according traffic signs. This may lead to inconsistencies with existing regulations. In orde...

Complex traffic situations and high driving workload are the leading contributing factors to traffic crashes. There is a strong correlation between driving performance and driving workload, such as visual workload from traffic signs on highway off-ramps. This study aimed to evaluate traffic safety by analyzing drivers' behavior and performance under the cognitive workload in complex environment...

Computer vision based traffic sign detection and recognition is an active field of research but the task becomes challenging when interest partially occluded by nearby objects like a tree, pole or vehicle. Another difficulty posed especially in developing countries lost colors problem that arises due to aging poor maintenance. This work presents automatic technique focuses on visible parts only...

Traffic signs function as an aid for drivers on the road. Hence, it is important to ensure that traffic signs are effective. The study investigates whether verbal or pictorial signs were less likely to be violated and would catch the driver's attention first. Twenty older and twenty younger drivers participated tested eleven verbal signs and eleven of their pictorial versions. Based on the stat...

Application of new technology in building human comforts and automation is growing fast, particularly in automobile industry. Automatic detection and recognition of traffic signs for assisting driver to ensure a safe travel have been givenpractical importance for intelligent traffic system.The proposed method detects the location of the traffic sign in thecaptured image, based on its geometrica...

We briefly review the advances in driver assistance systems and present a realtime version that integrates single view detection with region-based 3D tracking of traffic signs. The system has a typical pipeline: detection and recognition of traffic signs in independent frames, followed by tracking for temporal integration. The detection process finds an optimal set of candidates and is accelera...

We propose a novel traffic sign detection system that simultaneously estimates the location and precise boundary of traffic signs using convolutional neural network (CNN). Estimating the precise boundary of traffic signs is important in navigation systems for intelligent vehicles where traffic signs can be used as 3D landmarks for road environment. Previous traffic sign detection systems, inclu...

Image processing has many areas of applications like in metrological prediction of weather conditions, medical science, artificial intelligence, robotics etc. Traffic signs recognition system is in fact the most happening area of research these days. As the world is moving towards the driverless vehicles, a more automated world is the utmost requirement for improving the road safety. Such syste...