Road region recognition is a main feature that is gaining increasing attention from intellectuals because it helps autonomous vehicle to achieve a successful navigation without accident. However, different techniques based on camera sensor have been used by various researchers and outstanding results have been achieved. Despite their success, environmental noise like shadow leads to inaccurate ...

Vehicle detection is a fundamental task in Forward Collision Avoiding Systems (FACS). Generally, vision-based vehicle detection methods consist of two stages: hypotheses generation and hypotheses verification. In this paper, we focus on the former, presenting a feature-based method for on-road vehicle detection in urban traffic. Hypotheses for vehicle candidates are generated according to the s...

This paper describes a world model that combines a variety of sensed inputs and a priori information and is used to generate on-road and off-road autonomous driving behaviors. The system is designed in accordance with the principles of the 4D/RCS architecture. The world model is hierarchical, with the resolution and scope at each level designed to minimize computational resource requirements an...

Land consolidation is a tool for increasing the area of the arable land and improving the effectiveness of land cultivation. With the development of high resolution image, the progress of land consolidation project can be monitored by acquiring information from the image objectively. This paper presents a method to extract the wells and roads in land consolidation project from high resolution i...

A semi automatic road extraction method has been constructed and evaluated. Our purpose is to obtain 1/25,000 level road data from PRISM image. PRISM is panchromatic, three views, and the 2.5m resolution sensor carried on ALOS satellite that will be launched on late 2004. A centre line-detecting algorithm is employed for feature extraction. It picks up pixels where second derivative of brightne...

Now a days, fast extraction of road network is a challenging task especially in urban areas where roads are covered by height objects like trees, buildings, parking lots, vehicles etc. Imagery, especially high resolution image is main source for road detection as it contains rich texture and spectral information. This paper proposes a method based on merging of features of high resolution satel...

This article presents a pedestrian tracking methodology using an infrared sensor for surveillance applications. A distinctive feature of this study compared to the existing pedestrian tracking approaches is that the road network information is utilized for performance enhancement. A multiple model particle filter, which uses two different motion models, is designed for enabling the tracking of ...

Urban road networks have distinct geometric properties that are partially determined by their (quasi-) two-dimensional structure. In this work, we study these properties for 20 of the largest German cities. We find that the small-scale geometry of all examined road networks is extremely similar. The objectsize distributions of road segments and the resulting cellular structures are characterise...

Road information as a type of basic geographic information is very important for services such as city planning and traffic navigation, as such there is an urgent need for updating road information in a timely manner. Scholars have proposed various methods of extracting roads from remote sensing images, but most of them are not applicable to rural roads with diverse materials, large curvature c...

From the advent of human civilization on our planet to modern urbanization, road networks have not only provided a means for transportation of logistics but have also helped us to cross cultural boundaries. The properties of road networks vary considerably from one geographical environment to another. The networks pertaining in a satellite image can therefore be used to classify and retrieve su...