Dangerous driving behavior detection using smartphone sensors

Fu Li; Hai Zhang; Huan Che; Xiaochen Qiu

doi:10.1109/ITSC.2016.7795864

Dangerous driving behavior detection using smartphone sensors

Fu Li
, Hai Zhang
, Huan Che
, Xiaochen Qiu

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

58 Scopus citations

Abstract

This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement. Four kinds of typical dangerous driving behavior detection algorithms are designed. In addition, a slope detection algorithm based on low accuracy gyroscope is proposed to eliminate the interference of slope running. The effectiveness of the algorithms has been proved by lots experiments.

Original language	English
Title of host publication	2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1902-1907
Number of pages	6
ISBN (Electronic)	9781509018895
DOIs	https://doi.org/10.1109/ITSC.2016.7795864
State	Published - 22 Dec 2016
Event	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil Duration: 1 Nov 2016 → 4 Nov 2016

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	0
ISSN (Electronic)	2153-0017

Conference

Conference	19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/Territory	Brazil
City	Rio de Janeiro
Period	1/11/16 → 4/11/16

Access to Document

10.1109/ITSC.2016.7795864

Cite this

Li, F., Zhang, H., Che, H., & Qiu, X. (2016). Dangerous driving behavior detection using smartphone sensors. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016 (pp. 1902-1907). Article 7795864 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2016.7795864

@inproceedings{d34024832170459d928ac053e6520da5,

title = "Dangerous driving behavior detection using smartphone sensors",

abstract = "This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement. Four kinds of typical dangerous driving behavior detection algorithms are designed. In addition, a slope detection algorithm based on low accuracy gyroscope is proposed to eliminate the interference of slope running. The effectiveness of the algorithms has been proved by lots experiments.",

author = "Fu Li and Hai Zhang and Huan Che and Xiaochen Qiu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 ; Conference date: 01-11-2016 Through 04-11-2016",

year = "2016",

month = dec,

day = "22",

doi = "10.1109/ITSC.2016.7795864",

language = "英语",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016",

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}

Li, F , Zhang, H, Che, H & Qiu, X 2016, Dangerous driving behavior detection using smartphone sensors. in 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016., 7795864, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 0, Institute of Electrical and Electronics Engineers Inc., pp. 1902-1907, 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, 1/11/16. https://doi.org/10.1109/ITSC.2016.7795864

Dangerous driving behavior detection using smartphone sensors. / Li, Fu ; Zhang, Hai; Che, Huan et al.
2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1902-1907 7795864 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement. Four kinds of typical dangerous driving behavior detection algorithms are designed. In addition, a slope detection algorithm based on low accuracy gyroscope is proposed to eliminate the interference of slope running. The effectiveness of the algorithms has been proved by lots experiments.

AB - This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement. Four kinds of typical dangerous driving behavior detection algorithms are designed. In addition, a slope detection algorithm based on low accuracy gyroscope is proposed to eliminate the interference of slope running. The effectiveness of the algorithms has been proved by lots experiments.

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Li F , Zhang H, Che H, Qiu X. Dangerous driving behavior detection using smartphone sensors. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1902-1907. 7795864. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2016.7795864

Dangerous driving behavior detection using smartphone sensors

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