Spectral feature used in remotely sensed image classification are recorded in narrow, adjacent frequency bands in the visible to infrared spectrum. Due to narrow spacing, these features are highly correlated and provide some redundant information which may reduce classification accuracy. Hence discriminative feature selection technique is required for better classification. In this paper, we pr...

Traditional methods used to generate synthetic environment databases for driving simulators often utilize automated software tools for the roadways combined with a lot of manual efforts for feature placement and fine-tuning. Automated tools, although they are much more efficient than manual techniques, have several shortcomings. They produce roadways that have a very regular and repeating appea...

Mobile Mapping Technology (MMT) is one of the most important 3D spatial data acquisition technologies. The state-of-the-art mobile mapping systems, equipped with laser scanners and named Mobile LiDAR Scanning (MLS) systems, have been widely used in a variety of areas, especially in road mapping and road inventory. With the commercialization of Advanced Driving Assistance Systems (ADASs) and sel...

BACKGROUND Deaths and injuries on the road remain a major cause of premature death among young people across the world. Routinely collected data usually focuses on the mechanism of road traffic collisions and basic demographic data of those involved. This study aimed to supplement these routine sources with a thematic analysis of narrative text contained in coroners' records, to explore the wid...

This paper describes the environment perception system designed for intelligent vehicle SmartV-II, which won the 2010 Future Challenge. This system utilizes the cooperation of multiple lasers and cameras to realize several necessary functions of autonomous navigation: road curb detection, lane detection and traffic sign recognition. Multiple single scan lasers are integrated to detect the road ...

this study investigates the detection of the drowsiness state for a future application such as in the reduction ofthe road traffic accidents. the electroencephalography(eeg), electrooculography (eog), driving quality (dq), and karolinska sleepiness scale (kss) data of 7 male during approximately 20 hours of sleep deprivation were recorded. to reduce the eye blink artifact, an automatic mechanis...

Background: The noise caused by traffic is an increasingly prominent feature of urban environments. However, limited studies have been focused on the assessment of exposure-response relationship between road traffic noise exposure and driving behaviors in Iran. The present study aimed to investigate the prevalence of the violations caused by road traffic noise exposure in Qazvin, Iran. Methods...

This paper discusses the issue of statistical analysis of traffic flow in different regions of Poland. Such analysis allows us to identify “valuable (sensitive) areas” whose damage or blockage may provoke considerable disturbances or even stoppage of traffic flow in the examined road network. The results of the studies indicate that the road network in Poland has the properties of a scale-free ...

1 Due to the availability of GPS sensors in a variety of everyday devices, GPS trace-data is becoming 2 increasingly abundant. One potential use of this wealth of data is to infer, and update, the geometry 3 and connectivity of road maps, using what are known as “map generation” or “map inference” 4 algorithms. These algorithms offer a tremendous advantage when no existing road map data is 5 pr...