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Vehicle classification using measurements from accelerometers mounted on the road surface. / Obertov, Dmitrii; Andrievsky, Boris.

2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014. Institute of Electrical and Electronics Engineers Inc., 2014. стр. 413-417 6957389.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Obertov, D & Andrievsky, B 2014, Vehicle classification using measurements from accelerometers mounted on the road surface. в 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014., 6957389, Institute of Electrical and Electronics Engineers Inc., стр. 413-417, 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014, Miedzyzdroje, Польша, 2/09/14. https://doi.org/10.1109/MMAR.2014.6957389

APA

Obertov, D., & Andrievsky, B. (2014). Vehicle classification using measurements from accelerometers mounted on the road surface. в 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014 (стр. 413-417). [6957389] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMAR.2014.6957389

Vancouver

Obertov D, Andrievsky B. Vehicle classification using measurements from accelerometers mounted on the road surface. в 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014. Institute of Electrical and Electronics Engineers Inc. 2014. стр. 413-417. 6957389 https://doi.org/10.1109/MMAR.2014.6957389

Author

Obertov, Dmitrii ; Andrievsky, Boris. / Vehicle classification using measurements from accelerometers mounted on the road surface. 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014. Institute of Electrical and Electronics Engineers Inc., 2014. стр. 413-417

BibTeX

@inproceedings{8b4b94933f644295bd2d2c8dd647f10d,
title = "Vehicle classification using measurements from accelerometers mounted on the road surface",
abstract = "A new method for vehicle classification is presented. An axle parameter estimation gives advanced results for the distances between axles as well as transferred energy of vibrations. Measured road vibrations are analyzed and the phenomena are studied. Algorithms for vehicle classification based on the findings are described and their performance, advantages and disadvantages are evaluated and discussed. Correct classification of vehicles by wheelbases using accelerometers is about 89 %.",
author = "Dmitrii Obertov and Boris Andrievsky",
year = "2014",
month = nov,
day = "13",
doi = "10.1109/MMAR.2014.6957389",
language = "English",
pages = "413--417",
booktitle = "2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014 ; Conference date: 02-09-2014 Through 05-09-2014",

}

RIS

TY - GEN

T1 - Vehicle classification using measurements from accelerometers mounted on the road surface

AU - Obertov, Dmitrii

AU - Andrievsky, Boris

PY - 2014/11/13

Y1 - 2014/11/13

N2 - A new method for vehicle classification is presented. An axle parameter estimation gives advanced results for the distances between axles as well as transferred energy of vibrations. Measured road vibrations are analyzed and the phenomena are studied. Algorithms for vehicle classification based on the findings are described and their performance, advantages and disadvantages are evaluated and discussed. Correct classification of vehicles by wheelbases using accelerometers is about 89 %.

AB - A new method for vehicle classification is presented. An axle parameter estimation gives advanced results for the distances between axles as well as transferred energy of vibrations. Measured road vibrations are analyzed and the phenomena are studied. Algorithms for vehicle classification based on the findings are described and their performance, advantages and disadvantages are evaluated and discussed. Correct classification of vehicles by wheelbases using accelerometers is about 89 %.

UR - http://www.scopus.com/inward/record.url?scp=84915737459&partnerID=8YFLogxK

U2 - 10.1109/MMAR.2014.6957389

DO - 10.1109/MMAR.2014.6957389

M3 - Conference contribution

AN - SCOPUS:84915737459

SP - 413

EP - 417

BT - 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014

Y2 - 2 September 2014 through 5 September 2014

ER -

ID: 41252196