Standard

Vehicle speed estimation using roadside sensors. / Obertov, Dmitrii; Bardov, Vladimir; Andrievsky, Boris.

In: International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, Vol. 2015-January, No. January, 7002088, 06.01.2015, p. 111-117.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Obertov, D, Bardov, V & Andrievsky, B 2015, 'Vehicle speed estimation using roadside sensors', International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, vol. 2015-January, no. January, 7002088, pp. 111-117. https://doi.org/10.1109/ICUMT.2014.7002088

APA

Obertov, D., Bardov, V., & Andrievsky, B. (2015). Vehicle speed estimation using roadside sensors. International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2015-January(January), 111-117. [7002088]. https://doi.org/10.1109/ICUMT.2014.7002088

Vancouver

Obertov D, Bardov V, Andrievsky B. Vehicle speed estimation using roadside sensors. International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. 2015 Jan 6;2015-January(January):111-117. 7002088. https://doi.org/10.1109/ICUMT.2014.7002088

Author

Obertov, Dmitrii ; Bardov, Vladimir ; Andrievsky, Boris. / Vehicle speed estimation using roadside sensors. In: International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. 2015 ; Vol. 2015-January, No. January. pp. 111-117.

BibTeX

@article{3c30ffd088984b14ade6a990d269b0f3,
title = "Vehicle speed estimation using roadside sensors",
abstract = "In the paper the possibility of the vehicle speed estimation using the measurements of one sensor node which consist from the accelerometer and the magnetometer and located on the pavement is considered. The experiments on the test track demonstrated the good results: the speed estimation accuracy is approximately 90%. However, some improvements are needed before using the method on a regular road.",
author = "Dmitrii Obertov and Vladimir Bardov and Boris Andrievsky",
year = "2015",
month = jan,
day = "6",
doi = "10.1109/ICUMT.2014.7002088",
language = "English",
volume = "2015-January",
pages = "111--117",
journal = "International Conference on Ultra Modern Telecommunications & workshops ",
issn = "2157-0221",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "January",
note = "2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2014 ; Conference date: 06-10-2014 Through 08-10-2014",

}

RIS

TY - JOUR

T1 - Vehicle speed estimation using roadside sensors

AU - Obertov, Dmitrii

AU - Bardov, Vladimir

AU - Andrievsky, Boris

PY - 2015/1/6

Y1 - 2015/1/6

N2 - In the paper the possibility of the vehicle speed estimation using the measurements of one sensor node which consist from the accelerometer and the magnetometer and located on the pavement is considered. The experiments on the test track demonstrated the good results: the speed estimation accuracy is approximately 90%. However, some improvements are needed before using the method on a regular road.

AB - In the paper the possibility of the vehicle speed estimation using the measurements of one sensor node which consist from the accelerometer and the magnetometer and located on the pavement is considered. The experiments on the test track demonstrated the good results: the speed estimation accuracy is approximately 90%. However, some improvements are needed before using the method on a regular road.

UR - http://www.scopus.com/inward/record.url?scp=84932136565&partnerID=8YFLogxK

U2 - 10.1109/ICUMT.2014.7002088

DO - 10.1109/ICUMT.2014.7002088

M3 - Conference article

VL - 2015-January

SP - 111

EP - 117

JO - International Conference on Ultra Modern Telecommunications & workshops

JF - International Conference on Ultra Modern Telecommunications & workshops

SN - 2157-0221

IS - January

M1 - 7002088

T2 - 2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2014

Y2 - 6 October 2014 through 8 October 2014

ER -

ID: 41251796