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•Methodology for depicting the impact of the ADAS on individual drivers’ driving behaviors.•Aggregated influence of the ADAS dep
Tracking drivers' eyes and gazes is a topic of great interest in the research of advanced driving assistance systems (ADAS). It is esp
BACKGROUND The Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog) has been used widely as a cognitive end point in Alzheimer's
AbstractThis paper discusses on the cooperation and the learning processes to increase the autonomy of a human–machine system or an
Lane changes are stressful maneuvers for drivers, particularly during high-speed traffic flows. Advanced driver-assistance systems (AD
AbstractEarly detection of Alzheimer’s disease (AD) using structural magnetic resonance images is essential for early treatment that
This paper explores the technical feasibility of five Advanced Driver Assistance System (ADAS) functions to contribute to road traffic
Comprehensive situational awareness is paramount to the effectiveness of advanced driver assistance systems (ADASs) used in daily urba
This paper provides a survey of recent works on cognitive cars with a focus on driver-oriented intelligent vehicle motion control. The
Due to the lack of sufficient concrete strength or change in design codes, some RC structures are in need of retrofitting. Retrofittin
This paper presents a non-intrusive approach for monitoring driver drowsiness using the fusion of several optimized indicators based o
Highlights•Naturalistic data collected in a small-scale study to evaluate driver models.•Following models with preferred headways
AbstractBackgroundThe Alzheimer’s Disease Assessment Scale cognitive subscale (ADAS-Cog) is widely used in AD, but may be less respo
Remote sensing, Lidar, Environmental science, Automotive industry
For past 10 years Advanced Driving Assistance System (ADAS) has rapidly grown. Recently not only luxury cars but some entry level cars
Driving context, Driving behavior, Naturalistic driving study, Mixed-method study, Semi-automated systems, ADAS, Poison control, Nat
What machine learning (ML) technique is used for system intelligence implementation in ADAS (advanced driving assistance system)? This
The advent of machine learning (ML) methods for the industry has opened new possibilities in the automotive domain, especially for Adv
Advance Driver Assistance Systems (ADAS), once limited to high end luxury automobiles are fast becoming popular with Mid and entry lev
International audienceBackground & Aims: The Alzheimer's Disease Assessment Scale Cognitive Behaviour Section (ADAS-cog), a measure of
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