Evangelos Bekiaris

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OBJECTIVE The objective of this study is the development and evaluation of efficient neurophysiological signal statistics, which may assess the driver's alertness level and serve as potential indicators of sleepiness in the design of an on-board countermeasure system. METHODS Multichannel EEG, EOG, EMG, and ECG were recorded from sleep-deprived subjects(More)
This paper is presenting the efforts to implement in real time and for on-board applications a set of Driver-Vehicle-Environment (DVE) monitoring modules based on the theoretical work done in DVE modelling within the EC 6th FW co funded AIDE Integrated Project. First the need for such an implementation will be discussed. Then the basic DVE modelling(More)
– In this paper a multi-sensor collision avoidance system is presented for automotive applications. For obstacle detection and tracking, Millimeter Wave (MMW) Radar and a Far Infrared (FIR) Camera are chosen in order to provide object lists to the sensors’ trackers respectively. The algorithm of the track management, data association, filtering and(More)
Various types of driver models have been proposed in the literature, such as taxonomic, functional, and motivational. Recently, the promising Michon model was extended, leading to the widely used GADGET matrix. Nevertheless, the correlation of such models to actual road accidents and their causes has so far been weak. In addition, the use of those models(More)
Fully immersive and stereoscopic Virtual Environments (VE) represent a powerful multimedia tool for laboratory-based simulations of distinct scenarios including scenarios for evaluating stressful situations resembling reality. Thus far, cortisol secretion as a neuroendocrine parameter of stress has not been evaluated within a Virtual Reality (VR)-based(More)
This paper analyses the actual problems of elderly drivers in coping with certain driving tasks (i.e. changing lanes, merging or leaving from a parking position) from a structured state of the art and accident analysis and their impacts to the relevant design of telematic and other vehicle aids HMI. This work is part of AGILE project, co-funded by the(More)
Preventive safety functions help drivers avoid or mitigate accidents. No quantitative methods have been available to evaluate the safety impact of these systems. This paper describes a framework for the assessment of preventive and active safety functions, which integrates procedures for technical performance, human factors, and safety assessments in one(More)