Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study

Alexander Smirnov, Alexey Kashevnik, Nikolay Shilov, Igor Lashkov

2016

Abstract

The paper presents an automotive socio-cyberphysical system for assisting a vehicle driver. The system allows to notify people if they drive while being tired or drowsy. The reference model consist of the driver, the vehicle, driver's personal smartphone, vehicle infotainment system and cloud. Interaction of these components is implemented in a cyber space. Using smartphone cameras, the system determines the driver state using the computer vision algorithms and dangerous events identification diagram proposed in the paper. Presented approach has been implemented for Android-based mobile device and case study has been described in the paper.

References

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Paper Citation


in Harvard Style

Smirnov A., Kashevnik A., Shilov N. and Lashkov I. (2016). Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study . In Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-185-4, pages 104-111. DOI: 10.5220/0005875201040111


in Bibtex Style

@conference{vehits16,
author={Alexander Smirnov and Alexey Kashevnik and Nikolay Shilov and Igor Lashkov},
title={Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study},
booktitle={Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2016},
pages={104-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005875201040111},
isbn={978-989-758-185-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study
SN - 978-989-758-185-4
AU - Smirnov A.
AU - Kashevnik A.
AU - Shilov N.
AU - Lashkov I.
PY - 2016
SP - 104
EP - 111
DO - 10.5220/0005875201040111