We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually contain non-Gaussian noise and outliers, which makes non-robust estimation methods ineffective. In this paper, we propose an overview of a Lagrangian formulation of the Half-Quadratic approach by, first, revisiting the der...

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...

success of effective communication of traffic sign messages to road users may not only relate to the user characteristics but also the signs themselves. The purpose of this experiment was to examine the cognitive design features of 120 Mainland China traffic signs. The features included familiarity, concreteness, simplicity, meaningfulness, and semantic closeness. Forty-one Hong Kong Chinese en...

Robust and quick road curb detection under various situations is critical in developing intelligent vehicles. However, the road curb detection is easily affected by the obstacles in the road area when Lidar based method is applied. A practical road curb detection method using point cloud from a three-dimensional Lidar for autonomous vehicle is reported in this paper. First, a multi-feature, loo...

driver drowsiness has been one of the main causes of on-road crashes which can lead to death, physical injuries and impose significant costs on the societies. the development of non-intrusive methods to be able to detect driver drowsiness in the early stages of drowsiness is great of importance. this is an educational review and its purpose is to provide recent achievements about non-intrusive ...

In this paper, we propose a method that allows faster and more accurate detection of traffic lights by a vision sensor during driving, DGPS is used to obtain physical location of a traffic light, extract from the image information of the vision sensor only the traffic light area at this location and ascertain if the sign is in operation and determine its form. This method can solve the problem ...

Research on computer vision systems for driver assistance resulted in a variety of isolated approaches mainly performing very specialized tasks like, e. g., lane keeping or traffic sign detection. However, for a full understanding of generic traffic situations, integrated and flexible approaches are needed. We here present a highly integrated vision architecture for an advanced driver assistanc...

Automatic change detection and updating road networks is a key work for updating geo-spatial information especially in developing countries. Old GIS data can make road networks detection and extraction easier. However, detailed strategy and algorithms of automatic change detection for road networks based on GIS is not discussed in detail. Aiming at this, a strategy for automatic change detectio...

A new road classification technique from LIght Detection And Ranging (LIDAR) data is presented that relies on region growing in order to classify areas as road. The new method corrects some of the problems encountered with previously documented LIDAR road detectors. A major benefit of the new road detection method is that it can be combined with standard building detection techniques to detect ...

PURPOSE To compare the on-road driving performance of visually impaired drivers using bioptic telescopes with age-matched controls. METHODS Participants included 23 persons (mean age = 33 ± 12 years) with visual acuity of 20/63 to 20/200 who were legally licensed to drive through a state bioptic driving program, and 23 visually normal age-matched controls (mean age = 33 ± 12 years). On-road d...