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...

The use of Computer Vision techniques for the automatic recognition of road signs is fundamental for the development of intelligent vehicles and advanced driver assistance systems. In this paper, we describe a procedure based on color segmentation, Histogram of Oriented Gradients (HOG), and Convolutional Neural Networks (CNN) for detecting and classifying road signs. Detection is speeded up by ...

is one of the modern approaches for exchanging and generating traffic information with (yet to be realised) potential to improve road safety, driving comfort and traffic control. In this paper, we present a novel algorithm which is based on V2V communication, in-vehicle sensor information and inter-vehicle collaboration which can be used to detect road conditions and determine the geographical ...

Vehicle to vehicle communication (V2VC) is one of the modern approaches for exchanging and generating traffic information with (yet to be realised) potential to improve road safety, driving comfort and traffic control. In this paper, we present a novel algorithm which is based on V2V communication, uses in-vehicle sensor information and in collaboration with the other vehicles’ sensor informati...

Due to the increasing calculation power of dedicated hardware, real-time image processing becomes practicable at reasonable expenses. Nevertheless the algorithms concerned have to be adapted to real-time requirements. The subject treated in this paper is tie detection for automated railway inspection. An edge detector is proposed in which the sensitivity is adaptable to the local brightness of ...

Motorcycles are Vulnerable Road Users (VRU) and as such, in addition to bicycles pedestrians, they the traffic actors most affected by accidents urban areas. Automatic video processing for surveillance cameras has potential effectively detect track these road users. The present review focuses on algorithms used detection tracking of motorcycles, using infrastructure provided CCTV cameras. Given...

This paper presents an automatic road sign detection and recognition system that is based on a computational model of human visual recognition processing. Road signs are typically placed either by the roadside or above roads. They provide important information for guiding, warning, or regulating the behaviors drivers in order to make driving safer and easier. The proposed recognition system is ...

The extraction of road crossings is often neglected by systems for automatic road extraction. Frequently, crossings arise as by-products of the grouping step. This leads to geometrical inaccuracies and visually and cartographically unsatisfactory results. In this paper, an approach for the improvement of extracted road crossings is presented as well as a method for the external evaluation of th...

Until now transport planners and modellers have little information on the actual route choice in road networks as route choice is difficult to observe. The paper presents various techniques for observing route choice (floating car data, mobile phone data, automatic number plate recognition systems, bluetooth detection) and shows results of route choice observations. Based on the analysis of the...