Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a challenging issue due to the high complex image scene. From imagery, the obstacles of the extraction stem mainly from the difficulty of finding clues of the roads and complexity of the contextual environments. One of the promising methods to deal with this is to use da...

Vision–based road detection is an essential functionality for supporting advanced driver assistance systems (ADAS) such as road following and vehicle and pedestrian detection. The major challenges of road detection are dealing with shadows and lighting variations and the presence of other objects in the scene. Current road detection algorithms characterize road areas at pixel level and group pi...

In recent years, automatic driving technology has developed rapidly, and environmental perception is one of the important aspects driving. To design a real-time system with limited computational resources, we first proposed network faster reasoning speed fewer parameters by using multitask learning vision-based recognition technology, which can target three tasks traffic detection, drivable roa...

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...

In this paper, we present a real-time pedestrian tracker that combines a robust appearance-based pedestrian detector with application-specific constraints and motion information. The targeted application is the automatic detection of vulnerable road users in blind spot cameras on trucks. This application imposes several challenges that need to be tackled. Vulnerable road users are a very divers...

Automatic license plate recognition (ALPR) systems can be found in many different applications. If a person has driving license, the probably had already seen smart road camera after speed limit sign or on crossroad. Every year number of cars roads growth very fast. It is also obvious that such used out-of-road situations. For instance, this type for automatic access control private property pa...

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 paper addresses the automatic extraction of roads from aerial imagery. As only the automatic extraction of parts of the road network is possible in a single step, grouping is an inherent problem. For this a road extraction scheme based on iterative local grouping of “road objects” is proposed. Apart from geometric grouping cues and radiometric attributes also information about local contex...

This paper presents an automatic road sign recognition system. The system bases on twodimensional hidden Markov models. First, a study of the existing road sign recognition research is presented. In this study, the issues associated with automatic road sign recognition are described, the existing methods developed to tackle the road sign recognition problem are reviewed, and a comparison of the...

Internal self-diagnosis and external evaluation of the obtained results are of major importance for the relevance of any automatic system for practical applications. Obviously, this statement is also true for automatic image analysis in photogrammetry and remote sensing. However, so far only relatively little work has been carried out in this area. This is mostly due to the moderate results ach...