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Authors: Pavel Beresnev ; Anton Tumasov ; Dmitry Tyugin ; Denis Zeziulin ; Valery Filatov and Dmitry Porubov

Affiliation: Nizhny Novgorod State Technical University n.a. R.E. Alekseev, Russian Federation

Keyword(s): Automated Driving System, Advanced Driver-Assistance Systems, Lane Detection, Traffic Sings Detection, Obstacle Detection, Light Commercial Vehicles (LCV).

Abstract: In article development of a concept of advanced driver-assistance systems is considered. It consists of several subsystems such as a warning about leaving the line, warning the driver about the possibility of collision with an obstacle in the lane, detection of traffic signs. The concept of the system receives visual information about the road scene and decides on the need for to correct the course and speed parameters of the traffic. The component structure of system is shown. A number of methods are proposed (Hough Transform, bird's eye view, etc.) to solve the task. Tests of a concept of advanced driver-assistance systems are carried out. Based on the results of the tests, a technical task will be formulated for conducting development work.

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Paper citation in several formats:
Beresnev, P.; Tumasov, A.; Tyugin, D.; Zeziulin, D.; Filatov, V. and Porubov, D. (2018). Automated Driving System based on Roadway and Traffic Conditions Monitoring. In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-293-6; ISSN 2184-495X, SciTePress, pages 363-370. DOI: 10.5220/0006700303630370

@conference{vehits18,
author={Pavel Beresnev. and Anton Tumasov. and Dmitry Tyugin. and Denis Zeziulin. and Valery Filatov. and Dmitry Porubov.},
title={Automated Driving System based on Roadway and Traffic Conditions Monitoring},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2018},
pages={363-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006700303630370},
isbn={978-989-758-293-6},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Automated Driving System based on Roadway and Traffic Conditions Monitoring
SN - 978-989-758-293-6
IS - 2184-495X
AU - Beresnev, P.
AU - Tumasov, A.
AU - Tyugin, D.
AU - Zeziulin, D.
AU - Filatov, V.
AU - Porubov, D.
PY - 2018
SP - 363
EP - 370
DO - 10.5220/0006700303630370
PB - SciTePress

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