Driver inattention state: an overview of distraction, drowsiness, visual perception and infrared imaging

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201521" target="_blank" >RIV/00216305:26220/26:0201521 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Driver inattention state: an overview of distraction, drowsiness, visual perception and infrared imaging

Popis výsledku v původním jazyce

The identification of driver inattention is of critical importance in the context of road safety, given that inattention constitutes one of the primary causes of road traffic accidents. This paper examines several factors that contribute to driver inattention, with a particular focus on distraction, drowsiness, visual perception and infrared imaging. Distraction can be triggered by external (e.g. mobile phones) or internal (e.g. cognitive load) factors, while drowsiness significantly reduces responsiveness and attention. Visual perception is a key indicator of the driver's state of alertness. Modern driver monitoring systems increasingly use infrared imaging and eye-tracking technologies to analyse eye movements and detect signs of distraction or drowsiness at an early stage. This article provides a general overview of these aspects and shows how technological developments can help to improve the detection of inattention and increase driving safety. © 2025, Brno University of Technology. All rights reserved.

Název v anglickém jazyce

Driver inattention state: an overview of distraction, drowsiness, visual perception and infrared imaging

Popis výsledku anglicky

The identification of driver inattention is of critical importance in the context of road safety, given that inattention constitutes one of the primary causes of road traffic accidents. This paper examines several factors that contribute to driver inattention, with a particular focus on distraction, drowsiness, visual perception and infrared imaging. Distraction can be triggered by external (e.g. mobile phones) or internal (e.g. cognitive load) factors, while drowsiness significantly reduces responsiveness and attention. Visual perception is a key indicator of the driver's state of alertness. Modern driver monitoring systems increasingly use infrared imaging and eye-tracking technologies to analyse eye movements and detect signs of distraction or drowsiness at an early stage. This article provides a general overview of these aspects and shows how technological developments can help to improve the detection of inattention and increase driving safety. © 2025, Brno University of Technology. All rights reserved.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings II of the Conference Student EEICT

ISBN

9788021463219

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

321-325

Název nakladatele

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Místo vydání

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Místo konání akce

Brno

Datum konání akce

29. 4. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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