Results 181 to 190 of about 1,821 (211)

Revisiting Gaussian Mixture Models for Driver Identification

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2018
The increasing penetration of connected vehicles nowadays has enabled driving data collection at a very large scale. Many telematics applications have been also enabled from the analysis of those datasets and the usage of Machine Learning techniques, including driving behavior analysis, predictive maintenance of vehicles, modeling of vehicle health and
Sasan Jafarnejad, German Castignani, Thomas Engel 0001   +2 more
openaire   +2 more sources

Identification of driver genes and key pathways of ependymoma

Turkish Neurosurgery, 2018
To identify ependymoma (EPN) driver genes and key pathways, and also to illuminate the connection between prognosis of EPN patients and expression levels of driver genes.The gene expression profiles of GSE50161, GSE66354, GSE74195, and GSE86574 were analyzed to figure out the differentially expressed genes (DEGs) between tissue of EPN and normal brain ...
Sheng, Zhong, Qi, Yan, Junliang, Ge, Gaojing, Dou, Haiyang, Xu, Gang, Zhao   +5 more
openaire   +2 more sources

Identification of driver state for lane-keeping tasks

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1999
Identification of driver state is a desirable element of many proposed vehicle active safety systems (e.g., collision detection and avoidance, automated highway, and road departure warning systems). In the paper, driver state assessment is considered in the context of a road departure warning and intervention system.
Tom Pilutti, A. Galip Ulsoy
openaire   +1 more source

Body sensor networks for driver distraction identification

2008 IEEE International Conference on Vehicular Electronics and Safety, 2008
Cars have become a part of almost everyonepsilas life taking people from one place to another. In such a fast paced mode of transport, there are a variety of ways in which drivers can get distracted while driving. Getting stuck in a traffic jam, doing other tasks simultaneously while driving- for example drinking, reading, talking over the mobile phone
Amardeep Sathyanarayana, Sandhya Nageswaren, Hassan Ghasemzadeh 0001, Roozbeh Jafari, John H. L. Hansen   +4 more
openaire   +1 more source

Research on the Classification and Identification of Driver’s Driving Style

2017 10th International Symposium on Computational Intelligence and Design (ISCID), 2017
More and more Advanced Driver Assistance Systems (ADAS) are entering the market for improving both driving safety and comfort. To improve the system performance, in particular, the acceptance and adaption of ADAS to human drivers, it is important to understand human drivers' driving habits that make the systems more human-like or personalized for ADAS.
Bohua Sun, Weiwen Deng, Jian Wu 0024, Yaxin Li 0003, Bing Zhu 0006, Liguang Wu   +5 more
openaire   +1 more source

Identification of driver operations with extraction of driving primitives

2011 IEEE International Conference on Control Applications (CCA), 2011
Modeling the driver behavior is expected to play a fundamental role in designing systems of driver monitoring, warning, assist control and training. In this paper, we present an identification method of automobile driver operations based on a hierarchical clustering approach, which leads to a stochastic piecewise affine (PWA) model. The driver behavior
Masayuki Okamoto, Shunsuke Otani, Yasumasa Kaitani, Kenko Uchida   +3 more
openaire   +1 more source

Identification of Problem Drinking Among Drunken Drivers

JAMA, 1967
Information about previous contact with community agencies, particularly contact involving drinking problems, was compared for 150 drunken drivers, 33 accident-involved drivers who had been drinking but were not arrested, 117 sober drivers involved in accidents, 131 drivers with moving violations, 19 drivers with citations plus arrest warrants, and 150
openaire   +2 more sources

Smartwatch-Based Open-Set Driver Identification by Using GMM-Based Behavior Modeling Approach

IEEE Sensors Journal, 2021
Deron Liang, Rekyan Regasari Mardi Putri, Ching-Han Yang   +2 more
exaly  

Driver Identification Through Heterogeneity Modeling in Car-Following Sequences

IEEE Transactions on Intelligent Transportation Systems, 2022
, Donghao Xu, Franck Guillemard
exaly  

Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep Learning Approach using Psychological Behavioral Data

IEEE Transactions on Intelligent Transportation Systems, 2023
Poly Z H Sun, Kun Guo, Seop Hyeong Park
exaly