Pavement distresses (damages) are important information for evaluating the road condition and conducting the necessary road maintenance activities. Conventional human visual pavement distress detection method is time consuming, very expensive, labour-intensive and dangerous due to exposure to traffic. Numbers of methods have been introduced for road damage detection in the context of fine struc...

Linear feature extraction has always been a center of attraction for various applications such as urban planning, GIS database update, disaster management, tracking and monitoring and so on. So an accurately extracted image containing roads as the principle component is the need of the hour. With the development of various satellite image processing technologies, the extraction or mapping of li...

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 sig...

Road information is essential for automatic GIS (geographical information system) data acquisition, transportation and urban planning. Automatic road (network) detection from high resolution satellite imagery will hold great potential for significant reduction of database development/updating cost and turnaround time. From so called low level feature detection to high level contextsupported gro...

Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents. Road accidents continue to increase in digital age. There are many reasons for road ...

Road detection is one of the basic tasks for automatic guidance of vehicles in driver assistance system. In this paper an approach to detect road is proposed, which firstly transform RGB image into gray-scale image, then edge detection algorithm is applied and finally line extraction and highlighting is preformed. This algorithm has been tested on an images downloaded from the internet and on s...

An Automatic Road Sign Recognition System {A(RS)2} is aimed at detection and recognition of one or more road signs from real-world color images. The authors have already proposed an A(RS)2 able to detect and extract sign regions from real world scenes on the basis of their color and shape features. Classification is then performed on extracted candidate regions using Multi-Layer Perceptron neur...