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 …
Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance
RE Amini, C Al Haddad, D Batabyal, I Gkena… - Accident Analysis & …, 2023 - Elsevier
Driving simulator studies are popular means to investigate driving behaviour in a controlled
environment and test safety-critical events that would otherwise not be possible in real-world …
environment and test safety-critical events that would otherwise not be possible in real-world …
Detection of driving distractions and their impacts
For decades, road crashes have caused many deaths and injuries and generally have had a
severe social and economic impact on societies. According to studies, driver distraction has …
severe social and economic impact on societies. According to studies, driver distraction has …
[HTML][HTML] Analyzing scenario criticality and rider's intervention behavior during high-level autonomous driving: A VR-enabled approach and empirical insights
The safety of autonomous driving systems (ADS) has been attracting extensive attentions of
research and practice worldwide. One major concern on the existing ADS is the failure to …
research and practice worldwide. One major concern on the existing ADS is the failure to …
Evaluation of a front braking light for improving safety in road transport
The aim of innovations in road safety is to contribute to the better protection of road users
and to minimize damage to their property. The main objective of this article is to identify …
and to minimize damage to their property. The main objective of this article is to identify …
Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning
While driver distraction remains an issue in modernized societies, technological
advancements in data collection, storage and analysis provide the means for deeper …
advancements in data collection, storage and analysis provide the means for deeper …
Vigilance decrement during on-road partially automated driving across four systems
Objective This study uses a detection task to measure changes in driver vigilance when
operating four different partially automated systems. Background Research show temporal …
operating four different partially automated systems. Background Research show temporal …
Transitioning to multi-dimensional estimation of visual distraction and its safety effects under automated driving: a spatiotemporal and directional estimation approach
Traditional methodologies for measuring visual distraction have been limiting in their
approaches, treating distraction as a one-dimensional variable. This has been …
approaches, treating distraction as a one-dimensional variable. This has been …
Classification of roads and types of public roads using EOG smart glasses and an algorithm based on machine learning while driving a car
Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …
present world. Research exploring the topic of safety on the roads has therefore become …
Neuromorphic driver monitoring systems: A computationally efficient proof-of-concept for driver distraction detection
Driver Monitoring Systems (DMS) represent a promising approach for enhancing driver
safety within vehicular technologies. This research explores the integration of neuromorphic …
safety within vehicular technologies. This research explores the integration of neuromorphic …