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Intersection assistance: A safe solution for older drivers?
2013
Accident Analysis and Prevention
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a support system in a driving simulator. ...
In order to test the intersection assistance, eight intersections were depicted for further analyses. Results show that ADAS affects driving. ...
We also like to thank Bauke Dijkstra and Yvonne Akkerman for their involvement in preparing and administering the study and Alex Platinetty for his helpful advice on the final manuscript. ...
doi:10.1016/j.aap.2013.07.024
pmid:23954686
fatcat:rd7ejb5rtrer3f2z5dpt25qm2u
PENGARUH JENIS EDUKASI KESELAMATAN BERKENDARA TERHADAP PEMAHAMAN CALON PENGENDARA MOBIL DALAM MENGHADAPI KONFLIK LALU LINTAS
2014
Teknoin
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Some types of education on safety driving available at present may not be effective for would-be drivers. ...
Visual pictures and audio visual (an instructor) were the most effective types of education on safety driving for perspective drivers. ...
Differences and
Demographic
Influences
in
Perceived Concern for Driver
Safety and Support for Impaired
Driving Countermeasures, Journal
of Safety Research, 405-411, 2012. ...
doi:10.20885/teknoin.vol20.iss4.art2
fatcat:zrtcf2pjxrfypg2fwqtcn4kkai
Human-Centered AI to Support an Adaptive Management of Human-Machine Transitions with Vehicle Automation
2020
Information
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Then, the HCAI algorithm was integrated into demonstrators of Advanced Driving Aid Systems (ADAS) implemented on a driving simulator (dedicated to highway driving or to urban intersection crossing). ...
The general principle of this algorithm is to monitor (1) the drivers' behaviors and (2) the situational criticality to manage in real time the Human-Machine Interactions (HMI). ...
Then, participants took place in the driving simulator for a 10 min training session, in order to familiarize themselves with driving on simulator. ...
doi:10.3390/info12010013
fatcat:obshyddxofcizacwdtfauevwey
On Driver Behavior Recognition for Increased Safety: A Roadmap
2020
Safety
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In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical ...
Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers. ...
a driving simulator). ...
doi:10.3390/safety6040055
fatcat:rntcjtvwkjaa5mrxsc2lji5kdy
Socializing the Human Factors Analysis and Classification System: Incorporating Social Psychological Phenomena Into a Human Factors Error Classification System
2009
Human Factors
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Method: While drivers followed an urban route in a driving simulator, an ADAS provided them with prior knowledge on the next intersection. ...
Effects of In-Car Support on Mental Workload and Driving Performance of Older Drivers. S. 463-476(14). ...
Methods: In three experiments, students chose movies from a simulated movie database and then were shown feedback displays (static, sequential dots, constant-rate progress bars, or variable-rate progress ...
doi:10.1177/0018720809343588
pmid:19899355
fatcat:2kcirn6pp5atreei3uavexqdtq
Designing an integrated driver assistance system using image sensors
2012
Journal of Intelligent Manufacturing
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Targeting at designing a camera-based ADAS, we have conducted an ethnographic study of drivers to know what information about the driving environment would be useful in preventing accidents. ...
Advanced driver assistance system (ADAS) can reduce the human errors by keeping an eye on the driving environment and warning a driver to the upcoming danger. ...
Similarly, Green Light for Life (Lotan and Toledo 2005) uses an in-vehicle data recorder (IVDR) system to promote safe driving in young drivers. ...
doi:10.1007/s10845-011-0618-1
fatcat:euyozj7nyvcltg2kwsbwjj7zca
Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System
2020
International Journal of Environmental Research and Public Health
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This study investigates the use of a smartphone-based ADAS in terms of driving performance and driver acceptance, with the aim of improving road safety. ...
Advanced driver assistance systems (ADAS) have seen an increased interest due to the potential of ensuring a safer environment for all road users. ...
A feasible solution to reduce cell phone use while driving could be to adapt safety trainings, as shown in a paper which investigated the behavior of truck drivers [42] . ...
doi:10.3390/ijerph17197098
pmid:32998252
fatcat:ycsu5fscn5et7gw5g54mys6y74
Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment
2019
Frontiers in Psychology
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The driving style recognition module can be integrated into the advanced driving assistance system (ADAS), which integrates different modules to improve driving automation, safety and comfort, and then ...
Conservative drivers showed higher PSDs in the parietal and occipital areas in the alpha and beta bands, aggressive drivers showed higher PSD in the temporal area in the delta and theta bands. ...
Yu Wang for their help during the preparation and implementation of the experiment. We also appreciate the reviewers for their helpful comments and suggestions on this study. ...
doi:10.3389/fpsyg.2019.01254
pmid:31191419
pmcid:PMC6549479
fatcat:cierdl5hrbdyxlps7a4qq2pjmm
Trends in Driver Education and Training
2008
American Journal of Preventive Medicine
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This article provides an overview of trends in beginner, pre-licensing driver education and a perspective on the potential for systematic program evaluation to improve driver education programs, policy ...
It provides a brief digest of the conclusions, limitations, and implications of the evaluation literature for driver education program practice and development. (Am J Prev Med 2008;35(3S):S316 -S323) ...
In Norway, Glad 32 found a positive effect of a night driving module, but the effect was negative for a slippery-road training session among young men, with no effect among young females. ...
doi:10.1016/j.amepre.2008.06.023
pmid:18702989
fatcat:i5qh3bhhcbg4zdtuotye2l6qje
Detecting Human Driver Inattentive and Aggressive Driving Behavior using Deep Learning: Recent Advances, Requirements and Open Challenges
2020
IEEE Access
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In this paper, we contribute to first classify and discuss Human Driver Inattentive Driving Behavior (HIDB) into two major categories, Driver Distraction (DD), Driver Fatigue (DF), or Drowsiness (DFD). ...
The study of the effects of these factors that may lead to deterioration in the driving skills and performance of a human driver is out of the scope of this paper. ...
SUMO (Simulation of Urban Mobility) is used for dataset generation. ...
doi:10.1109/access.2020.2999829
fatcat:5nxtzm6yfbe4jf6nqgreqw45r4
Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification
[chapter]
2021
Lecture Notes in Computer Science
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For these reasons, such car driver profiling algorithms have been developed by scientific community. ...
The latest generation cars are often equipped with advanced driver assistance systems usually known as ADAS (Advanced Driver Assistance Systems). ...
algorithms able to analyze also the anxiety and stress level of the driver, in order to improve the driving safety and assistance systems. ...
doi:10.1007/978-3-030-68793-9_13
fatcat:rxevihrmt5forgp444q6efgddi
Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images
2022
Applied Sciences
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This work presents the development of an ADAS (advanced driving assistance system) focused on driver drowsiness detection, whose objective is to alert drivers of their drowsy state to avoid road traffic ...
In a driving environment, it is necessary that fatigue detection is performed in a non-intrusive way, and that the driver is not bothered with alarms when he or she is not drowsy. ...
After this, the alarm activation module of the ADAS decides whether to alert the driver or not. ...
doi:10.3390/app12031145
fatcat:7jx2z2sikvh2pmmpmxoqjndvny
Development and Experimental Validation of an Intelligent Camera Model for Automated Driving
2021
Sensors
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In particular, the limitations and measurement errors of real perception sensors need to be simulated realistically in order to generate useful sensor data for the ADAS/AD function under test. ...
The virtual testing and validation of advanced driver assistance system and automated driving (ADAS/AD) functions require efficient and realistic perception sensor models. ...
their participation in the measurement campaign. ...
doi:10.3390/s21227583
pmid:34833657
pmcid:PMC8622060
fatcat:dju4p2h265hchl3z6lvbw2ljkm
The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information
2013
Transportation Research Part F: Traffic Psychology and Behaviour
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Effect of ADAS use on drivers' information processing and Situation Awareness. In A. Stevens, C. Brusque & J. Krems (Eds.) Driver adaptation to information and assistance systems (pp. 57-80). ...
Changes in motivational and higher level cognitive processes when interacting with in-vehicle automation. (Doctoral dissertation). ...
In contrast to the driving simulator study, all participants were fully trained in ACC functionality by reading the owner's manual in the beginning. ...
doi:10.1016/j.trf.2012.12.006
fatcat:sz6odsm5mfgrvc64aorsc6nogi
Estimation of Driver's Danger Level when Accessing the Center Console for Safe Driving
2018
Sensors
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This paper proposes a system for estimating the level of danger when a driver accesses the center console of a vehicle while driving. ...
The proposed system uses a driver monitoring platform to measure the distance between the driver's hand and the center console during driving, as well as the time taken for the driver to access the center ...
To simulate an actual driving situation in the laboratory, a driver monitoring platform was employed. ...
doi:10.3390/s18103392
pmid:30309040
pmcid:PMC6210281
fatcat:phs57nblebc55g6ewmv4r6wja4
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