We present an automatic road sign detection and recognition service system for mobile devices. The system is based on a client-server architecture which allows mobile users to take pictures of road signs and request detection and recognition service from a centralized server for processing. The preprocessing, detection and recognition take place at the server end and consequently, the result is...

Road sign detection and recognition is an integral part of intelligent transportation systems. It increases protection by reminding the driver current condition route, such as notices, bans, limitations, other valuable driving information. This paper describes a novel system for automatic road signs, which achieved in two main steps. First, initial image pre-processed using DBSCAN clustering al...

This paper presents and discusses the results obtained by the GOLD (Generic Obstacle and Lane Detection) system as an automatic driver of ARGO. ARGO is a Lancia Thema passenger car equipped with a computer vision system that allows to extract road and environmental information from the acquired scene; it has been demonstrated to drive autonomously on a number of different road and environmental...

The problem of road sign detection and recognition is very important in many practical problems, above all for road cadastral authorities. In this sense, an automatic application able to identify the kind of a road sign starting from common imageries such as photos could be very helpful. The main difficulty is due to a possible poor graphical definition of the imagery. In this case, a valid sup...

This study proposes a vehicle detection system for identifying the vehicles by locating their headlights and rear-lights in the nighttime road environment. The proposed system comprises of two stages for detecting the vehicles in front of the camera-assisted car. The first stage is a fast automatic multilevel thresholding, which separates the bright objects from the grabbed nighttime road scene...

This paper proposes a vehicle detection system for identifying the moving vehicles at night which is far distance away by locating their rear-lights in the road. Many advanced driver-assistance systems (ADAS), such as collision mitigation, automatic cruise control (ACC) and automatic headlamp dimming were proposed by many researchers for driver assistance. We present a novel image processing sy...

Road network data from OpenStreetMap (OSM) is the basis of various real-world applications such as fleet management or traffic flow estimation, and has become a standard dataset for research on route planning and related subjects. The quality of such applications and conclusiveness of research crucially relies on correctness and completeness of the underlying road network data. We introduce met...