Traffic accidents are still one of the main health problems in the World. A number of measures have been applied in order to reduce the number of injuries and fatalities in roads, i.e., implementation of Advanced Driver Assistance Systems (ADAS) based on image processing. In this paper, a real time speed supervisor based on road sign recognition that can work both in urban and non-urban environ...

MMS(Mobile Mapping System) generates a efficient image data for mapping and facility management. However, this image data of MMS has many difficulties in a practical use because of huge data volume. Therefore the important information likes road sign post must be extracted from huge MMS image data. In Korea, there is the HMS(Highway Management System) to manage a national road that acquire the ...

Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I as well as I2V) applications are developing very fast. They rely on telecommunication and localization technologies to detect, identify and geo-localize the sources of information (such as vehicles, roadside objects, or pedestrians). This paper presents an original approach on how two different technologies (a near infrared identificat...

We present an intelligent night vision system for automobiles in this paper. This system, implemented mainly by adopting infrared cameras and computer vision techniques, aims at enhancing safety and convenience of night driving by providing functionalities such as adaptive night vision, road sign detection and recognition, scene zooming and spotlight projection. We have tested the system in bot...

Oblique photogrammetry-based three-dimensional (3D) urban models are widely used for smart cities. In 3D models, road signs small but provide valuable information navigation. However, due to the problems of sliced shape features, blurred texture and high incline angles, cannot be fully reconstructed in oblique photogrammetry, even with state-of-the-art algorithms. The poor reconstruction common...

This paper presents an approach that provides extended vehicle location information based on multi sensor data fusion. Firstly, the vehicle location, a recommended speed level referred to this location and a confidence level attached to this speed evaluation are determined thanks to the digital road map of a navigation system. At the same time, a speed sign recognition device based on image pro...

Abstract The paper presents the description of decision system implemented for Intelligent Road Signs. It focuses on implementation novel air transparency analysis and its integration with rule speed control infrastructure. Moreover, there are presented issues making decisions about content displayed in case autonomous cooperating signs. To reflect more closely real-life situations, it is assum...

This paper presents a traffic sign detection method for signs close to road intersections and roundabouts, such as stop and yield (give way) signs. The proposed method relies on statistical templates built using color information for both segmentation and classification. The segmentation method uses the RGB-normalized (ErEgEb) color space for ROIs (Regions of Interest) generation based on a chr...