Advanced vehicular sensing of road artifacts and driver behavior

Najah Abuali

doi:10.1109/ISCC.2015.7405452

Advanced vehicular sensing of road artifacts and driver behavior

Najah Abuali

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

10 Citations (Scopus)

Abstract

The use of smartphone-only systems has relatively low accuracy, high computational complexity, and high battery consumption. Utilizing built-in vehicle sensors via OBD dongles can enable a more comprehensive road conditions monitoring system with lower computational cost and higher accuracy. This paper presents a system that utilizes the vehicle's CAN-Bus, as a source of sensory data, and a smartphone, as the processing unit of the mentioned data, to detect road artifacts and monitor driver behavior. Preliminary results of the proposed system reveal a maximum of 92%, with an average of 84%, in detection of road artifacts. Similarly, in a well-defined environment, driver behavior detection approaches 100%.

Original language	English
Title of host publication	20th IEEE Symposium on Computers and Communication, ISCC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	45-49
Number of pages	5
ISBN (Electronic)	9781467371940
DOIs	https://doi.org/10.1109/ISCC.2015.7405452
Publication status	Published - Feb 11 2016
Event	20th IEEE Symposium on Computers and Communication, ISCC 2015 - Larnaca, Cyprus Duration: Jul 6 2015 → Jul 9 2015

Publication series

Name	Proceedings - IEEE Symposium on Computers and Communications
Volume	2016-February
ISSN (Print)	1530-1346

Other

Other	20th IEEE Symposium on Computers and Communication, ISCC 2015
Country/Territory	Cyprus
City	Larnaca
Period	7/6/15 → 7/9/15

Keywords

CAN-Bus
Driver Behavior
OBD-II
Road Artifacts
Vehicular Sensing

ASJC Scopus subject areas

Software
Signal Processing
Mathematics(all)
Computer Science Applications
Computer Networks and Communications

Access to Document

10.1109/ISCC.2015.7405452

Cite this

Advanced vehicular sensing of road artifacts and driver behavior. / Abuali, Najah.
20th IEEE Symposium on Computers and Communication, ISCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 45-49 7405452 (Proceedings - IEEE Symposium on Computers and Communications; Vol. 2016-February).

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

Abuali, N 2016, Advanced vehicular sensing of road artifacts and driver behavior. in 20th IEEE Symposium on Computers and Communication, ISCC 2015., 7405452, Proceedings - IEEE Symposium on Computers and Communications, vol. 2016-February, Institute of Electrical and Electronics Engineers Inc., pp. 45-49, 20th IEEE Symposium on Computers and Communication, ISCC 2015, Larnaca, Cyprus, 7/6/15. https://doi.org/10.1109/ISCC.2015.7405452

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AB - The use of smartphone-only systems has relatively low accuracy, high computational complexity, and high battery consumption. Utilizing built-in vehicle sensors via OBD dongles can enable a more comprehensive road conditions monitoring system with lower computational cost and higher accuracy. This paper presents a system that utilizes the vehicle's CAN-Bus, as a source of sensory data, and a smartphone, as the processing unit of the mentioned data, to detect road artifacts and monitor driver behavior. Preliminary results of the proposed system reveal a maximum of 92%, with an average of 84%, in detection of road artifacts. Similarly, in a well-defined environment, driver behavior detection approaches 100%.

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KW - Road Artifacts

KW - Vehicular Sensing

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Advanced vehicular sensing of road artifacts and driver behavior

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this