Improving road safety is one of the critical issues for maintenance and management. Motion sensors embedded in smartphones to sense vibrations can be used detect rough surfaces when carried moving vehicles. Finding segments signal which reflect condition surface, however, a challenging task. This study proposes modified U-Net architecture with integrated bidirectional Long Short-Term Memory lay...

Open geospatial data sources provide opportunities for low cost 3D scene reconstruction. In this study, based on a sparse airborne laser scanning (ALS) point cloud (0.8 points/m2) obtained from open source databases, a building reconstruction pipeline for CAD building models was developed. The pipeline includes voxel-based roof patch segmentation, extraction of the key-points representing the r...

Sequences by Separation of Image Features Esther B. Meier, Frank Ade Abstract| We propose a new approach for a driver assistance system based on range image sequences to increase the safety on motorways. This control system is capable of automatically keeping the car at an adequate distance or warning the driver when he gets too close to other cars. The knowledge of the sensor geometry with res...

Automatic road detection from high resolution satellite images has been an active research topic in the past decades. Different solutions are proposed to detect road object such as: fusion-based, fuzzy-based, mathematical morphology, model-based approach, dynamic programming and multi-scale grouping. In this paper, a new fuzzy segmentation method is proposed which is optimized by particle swarm...

Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject to the availability of detailed digital road maps. Most current digital maps are still inadequate for advanced applications in unstructured environments. Lack of up-to-date information and insufficient refinement of the road geom...

The automatic detection of road cracks is important in a lot of countries to quantify the quality of road surfaces and to determine the national roads that have to be improved. Many methods have been proposed to automatically detect the defects of road surface and, in particular, cracks: with tools of mathematical morphology, neuron networks or multiscale filter. These last methods are the most...

The main factor affecting road performance is pavement damage. One of the difficulties in maintaining roads cracking. Credible and reliable inspection heritage structural health relies heavily on crack detection surfaces. To achieve intelligent operation maintenance, essential to traffic safety. cracks using computer vision has gained popularity recent years. Recent technological breakthroughs ...

Road traffic congestion in modern cities has become essential problem which need to be solved. To solve this problem, we have proposed a dynamic traffic light controller system based on image processing. Images (the road-images) used in this research are taken by digital camera placed at fixed position in the traffic-light with specific resolution and distance. The taken images will be analyzed...

The ability to detect and navigate drivable road surfaces is an important research area in autonomous navigation for use in autonomous vehicles. In this paper, a probabilistic computer vision algorithm for segmentation of tarred road surfaces is developed. Using a calibrated camera, a projection of a local obstacle map is then laid over the segmented image and an estimate is made of the likelih...