Advanced vehicular sensing of road artifacts and driver behavior

Najah Abuali

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 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 languageEnglish
    Title of host publication20th IEEE Symposium on Computers and Communication, ISCC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages45-49
    Number of pages5
    ISBN (Electronic)9781467371940
    DOIs
    Publication statusPublished - Feb 11 2016
    Event20th IEEE Symposium on Computers and Communication, ISCC 2015 - Larnaca, Cyprus
    Duration: Jul 6 2015Jul 9 2015

    Publication series

    NameProceedings - IEEE Symposium on Computers and Communications
    Volume2016-February
    ISSN (Print)1530-1346

    Other

    Other20th IEEE Symposium on Computers and Communication, ISCC 2015
    Country/TerritoryCyprus
    CityLarnaca
    Period7/6/157/9/15

    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

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