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Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
[HTML][HTML] A review of sensory interactions between autonomous vehicles and drivers
J Lu, Z Peng, S Yang, Y Ma, R Wang, Z Pang… - Journal of Systems …, 2023 - Elsevier
Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …
Physiological-based driver monitoring systems: A sco** review
A physiological-based driver monitoring system (DMS) has attracted research interest and
has great potential for providing more accurate and reliable monitoring of the driver's state …
has great potential for providing more accurate and reliable monitoring of the driver's state …
Advancements in the intelligent detection of driver fatigue and distraction: a comprehensive review
S Fu, Z Yang, Y Ma, Z Li, L Xu, H Zhou - Applied Sciences, 2024 - mdpi.com
Detecting the factors affecting drivers' safe driving and taking early warning measures can
effectively reduce the probability of automobile safety accidents and improve vehicle driving …
effectively reduce the probability of automobile safety accidents and improve vehicle driving …
A novel EEG-based assessment of distraction in simulated driving under different road and traffic conditions
The drivers' distraction plays a crucial role in road safety as it is one of the main impacting
causes of road accidents. The phenomenon of distraction encompasses both psychological …
causes of road accidents. The phenomenon of distraction encompasses both psychological …
Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition
D Kim, H Park, T Kim, W Kim, J Paik - Scientific reports, 2023 - nature.com
This paper introduces a real-time Driver Monitoring System (DMS) designed to monitor
driver behavior while driving, employing facial landmark estimation-based behavior …
driver behavior while driving, employing facial landmark estimation-based behavior …
[PDF][PDF] Sieci nski
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Detection of driver cognitive distraction using machine learning methods
Driver distraction is one of the primary causes of crashes. As a result, there is a great need to
continuously observe driver state and provide appropriate interventions to distracted drivers …
continuously observe driver state and provide appropriate interventions to distracted drivers …
Using driver monitoring to estimate readiness in automation: a conceptual model based on simulator experimental data
This paper provides a theoretical overview of how the concept of driver readiness can be
objectively measured, using controlled experimental data. First, a literature review regarding …
objectively measured, using controlled experimental data. First, a literature review regarding …