Human-factors-in-driving-loop: Driver identification and verification via a deep learning approach using psychological behavioral data
Driver identification has been popular in the field of driving behavior analysis, which has a
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …
[HTML][HTML] A review for the driving behavior recognition methods based on vehicle multisensor information
D Zhao, Y Zhong, Z Fu, J Hou, M Zhao - Journal of Advanced …, 2022 - hindawi.com
The frequent traffic accidents lead to a large number of casualties and large related financial
losses every year; this serious state is owed to several factors; among those, driving …
losses every year; this serious state is owed to several factors; among those, driving …
Recognition of Driving Behavior in Electric Vehicle's Li-Ion Battery Aging
In the foreseeable future, electric vehicles (EVs) will play a key role in the decarbonization of
transport systems. Replacing vehicles powered by internal combustion engines (ICEs) with …
transport systems. Replacing vehicles powered by internal combustion engines (ICEs) with …
Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning
Abstract Internet of Vehicles (IoV) is a paradigm of ITS that incorporates automobiles,
transportation, information sharing, and traffic infrastructure management with the aim to …
transportation, information sharing, and traffic infrastructure management with the aim to …
Federated learning based driver recommendation for next generation transportation system
Driving behavior analysis benefits the transportation system in terms of road safety,
maintenance costs, vehicle's off-road time, fuel consumption, and enhanced driving …
maintenance costs, vehicle's off-road time, fuel consumption, and enhanced driving …
WFID: driver identity recognition based on Wi-Fi signals
YJ Yang, CM Chao, CC Yeh… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driver identification is a key factor in attributing liability for car accident insurance claims and
assessing driver competency. Existing driver recognition systems use mechanisms based …
assessing driver competency. Existing driver recognition systems use mechanisms based …
Driver identification using statistical features of motor activity and genetic algorithms
Driver identification refers to the process whose primary purpose is identifying the person
behind the steering wheel using collected information about the driver him/herself. The …
behind the steering wheel using collected information about the driver him/herself. The …
Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives
H Chen, R Gao, L Fan, E Liu, W Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The innovative development of intelligent cockpit scenarios and functions brings
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …
Understanding Influences of Driving Fatigue on Driver Fingerprinting Identification through Deep Learning
Y Sun, C Wu, H Zhang, S Ferreira… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driver Fingerprinting (DF), reflecting unique driving characteristics, has received extensive
attention for its prominent applications in various domains such as driver identification in …
attention for its prominent applications in various domains such as driver identification in …
Convolutional and recurrent neural networks for driver identification: An empirical study
MN Azadani, A Boukerche - NOMS 2022-2022 IEEE/IFIP …, 2022 - ieeexplore.ieee.org
As a powerful non-intrusive method, driver identification based on driving data analysis has
recently gained attention as it is beneficial for providing security, privacy, and …
recently gained attention as it is beneficial for providing security, privacy, and …