Results 41 to 50 of about 55,066 (340)

Driver Drowsiness Detection Based on Respiratory Signal Analysis

open access: yesIEEE Access, 2019
Drowsy driving is a prevalent and serious public health issue that deserves attention. Recent studies estimate that around 20% of car crashes have been caused by drowsy drivers.
Federico Guede-Fernandez   +3 more
doaj   +1 more source

Adaptation to driver-assistance systems depending on experience

open access: yesOpen Engineering, 2021
Many tasks that until recently could only be performed by humans are now entrusted to machines. Automation plays an increasingly important role in many areas of life, and its special role is observed in broadly understood transport, affecting the ...
Ucińska Monika
doaj   +1 more source

Editorial

open access: yesMachines, 2023
In recent decades, the research on autonomous driving technologies has enabled the automotive industry to introduce vehicles supported by Advanced Driver-Assistance Systems (ADAS) to the market [...]
Antonios Gasteratos, Ioannis Kostavelis
doaj   +1 more source

Driver distraction detection via multi‐scale domain adaptation network

open access: yesIET Intelligent Transport Systems, 2023
Distracted driving is the leading cause of road traffic accidents. It is essential to monitor the driver's status to avoid traffic accidents caused by distracted driving.
Jing Wang, ZhongCheng Wu
doaj   +1 more source

Impact analysis of Advanced Driver Assistance Systems (ADAS) regarding road safety – computing reduction potentials

open access: yesEuropean Transport Research Review
In the present study road safety impact analysis for certain advanced driver assistance systems (ADAS) was conducted. Based on a literature review, expert interviews and current adaptations in legislation, the most promising nine ADAS were selected.
Michael Aleksa   +5 more
semanticscholar   +1 more source

Enhancing Road Safety: Deep Learning-Based Intelligent Driver Drowsiness Detection for Advanced Driver-Assistance Systems

open access: yesElectronics
Driver drowsiness detection is a significant element of Advanced Driver-Assistance Systems (ADASs), which utilize deep learning (DL) methods to improve road safety.
Eunmok Yang, Okyeon Yi
semanticscholar   +1 more source

A Rapid Prototyping Environment for Cooperative Advanced Driver Assistance Systems

open access: yesJournal of Advanced Transportation, 2018
Advanced Driver Assistance Systems (ADAS) were strong innovation drivers in recent years, towards the enhancement of traffic safety and efficiency.
Kay Massow, Ilja Radusch
doaj   +1 more source

Securing the Future: A Comprehensive Review of Security Challenges and Solutions in Advanced Driver Assistance Systems

open access: yesIEEE Access
Advanced Driver Assistance Systems (ADAS) are advanced technologies that assist drivers with vehicle operation and navigation. Recent improvements and brisk expansion in the ADAS market, as well as an increase in the frequency of incidents such as sensor
A. Mehta   +7 more
semanticscholar   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül   +2 more
wiley   +1 more source

Introducing Advanced Driver Assistance Systems

open access: yesEuropean Journal of Transport and Infrastructure Research, 2019
The introduction of Advanced Driver Assistance Systems (ADAS) in road traffic induces many complex questions. One of them is whether or not present legislation frameworks are able to accommodate a smooth development and market implementation of ADAS. This is strongly related to the aspect of traffic safety. The various aspects related to this issue are
Van Der Heijden, Rob, Van Wees, Kiliaan
openaire   +1 more source

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