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Tactical driver behavior prediction and intent inference: A review
Drawing upon fundamental research in human behavior prediction, recently there has been
a research focus on how to predict driver behaviors. In this paper we review the field of …
a research focus on how to predict driver behaviors. In this paper we review the field of …
Research issues in smart vehicles and elderly drivers: a literature review
This article reviewed both studies on general smart car technologies and human–computer
interaction (HCI)/human–vehicle interaction studies that were published in journals and …
interaction (HCI)/human–vehicle interaction studies that were published in journals and …
Deep unsupervised multi-modal fusion network for detecting driver distraction
Y Zhang, Y Chen, C Gao - Neurocomputing, 2021 - Elsevier
The risk of incurring a road traffic crash has increased year by year. Studies show that lack of
attention during driving is one of the major causes of traffic accidents. In this work, in order to …
attention during driving is one of the major causes of traffic accidents. In this work, in order to …
Modeling of driver behavior in real world scenarios using multiple noninvasive sensors
<? Pub Dtl=""?> With the development of new in-vehicle technology, drivers are exposed to
more sources of distraction, which can lead to an unintentional accident. Monitoring the …
more sources of distraction, which can lead to an unintentional accident. Monitoring the …
Predicting perceived visual and cognitive distractions of drivers with multimodal features
A driver's behaviors can be affected by visual, cognitive, auditory, and manual distractions.
While it is important to identify the patterns associated with particular secondary tasks, it is …
While it is important to identify the patterns associated with particular secondary tasks, it is …
Understanding drivers' stress and interactions with vehicle systems through naturalistic data analysis
Today, and probably for a long time to come, humans will remain an integral part of vehicles
for driving tasks. Therefore, it is essential to understand how vehicles and drivers interact …
for driving tasks. Therefore, it is essential to understand how vehicles and drivers interact …
Privacy preserving driving style recognition
In order to better manage the premiums and encourage safe driving, many commercial
insurance companies (eg, Geico, Progressive) are providing options for their customers to …
insurance companies (eg, Geico, Progressive) are providing options for their customers to …
A cyber–physical–social approach for engineering Functional Safety Requirements for automotive systems
Several approaches have been developed to assist automotive system manufacturers in
designing safer vehicles by facilitating compliance with functional safety standards …
designing safer vehicles by facilitating compliance with functional safety standards …
A driving fingerprint map method of driving characteristic representation for driver identification
H Cai, Z Hu, Z Chen, D Zhu - IEEE Access, 2018 - ieeexplore.ieee.org
Safety and comfortability are important indicators to evaluate the performance of driver
assistant systems (ADAS) and intelligent vehicle (IV) systems. Driver identification or driving …
assistant systems (ADAS) and intelligent vehicle (IV) systems. Driver identification or driving …
Driving anomaly detection using conditional generative adversarial network
Anomaly driving detection is an important problem in advanced driver assistance systems
(ADAS). It is important to identify potential hazard scenarios as early as possible to avoid …
(ADAS). It is important to identify potential hazard scenarios as early as possible to avoid …