Automatic traffic scene analysis which has been used for real-time on-road vehicle detection system is essential to many areas of ITS (Intelligent Transport Systems). In order to improve the detection time and accuracy of detection performance, various image processing techniques have been used for real-time vehicle detection. Moreover, Neural Networks have been increasingly and successfully ap...

In this paper an automatic examination robot was developed to improve the process of cancer detection, tumor localization and geometrical shape diagnosis. A uniformly distributed compressive load was applied to the top tissue surface and the resultant mechanical stress was measured that was employed for the tumor diagnosis task. The experimental examinations were performed on the soft tissue of...

This study presents the technology of a vehicle-based mobile mapping system to maintain an updated transportation database. The mobile mapping system that integrates the global positioning system (GPS), the inertial navigation system (INS), and digital cameras has been developed to collect data on position and attributes of road infrastructure. The vehicle-based mobile mapping system works by h...

Knowledge of the actual traffic condition in a road section is the basis for an efficient performance of traffic management and control systems, automatic incident detection, route guidance systems, and so forth. Present traffic data acquisition systems are usually based on the collection of local data, such as passing vehicles’ speed or volume, which are picked up at certain points along the r...

Construction, development and maintenance of the road network are central activities for several public authorities. In cooperation with the Norwegian road authorities, we have developed an approach for automated vehicle detection and generation of traffic statistics from QuickBird images. Satellite surveillance serves several obvious advantages over the methods that are being used today, which...

Internal self-diagnosis and external evaluation of the obtained results are essential for any automatic system. In the long run these factors are of major importance for the relevance of the system for practical applications. Obviously, this statement is also true for image analysis in photogrammetry and remote sensing. However, so far only relatively little work has been carried out in this ar...

The road pavement condition is a ected by various impacts such as trucks, deicing reagents, base erosion, etc. After some time on the road surface occur defects. Engineers are commonly used to collect pavement surface distress data, during periodic road surveys, but it takes a lot of time and manpower. In this paper, we present our automatic defects detection and classi cation on road pavement ...

One of the greatest challenges for vision-based road detection is the presence of shadows and other vehicles. It’s particularly challenging to detect unstructured road when it has both shadowed and non shadowed area since the presence of shadows can cause hindrance and shape distortion of objects which may result in false detection of road. Shadows can also cause a significant problem in road d...