• DocumentCode
    181689
  • Title

    DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors

  • Author

    Bergasa, Luis M. ; Almeria, Daniel ; Almazan, Jon ; Yebes, J. Javier ; Arroyo, R.

  • Author_Institution
    Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain
  • fYear
    2014
  • fDate
    8-11 June 2014
  • Firstpage
    240
  • Lastpage
    245
  • Abstract
    This paper presents DriveSafe, a new driver safety app for iPhones that detects inattentive driving behaviors and gives corresponding feedback to drivers, scoring their driving and alerting them in case their behaviors are unsafe. It uses computer vision and pattern recognition techniques on the iPhone to assess whether the driver is drowsy or distracted using the rear-camera, the microphone, the inertial sensors and the GPS. We present the general architecture of DriveSafe and evaluate its performance using data from 12 drivers in two different studies. The first one evaluates the detection of some inattentive driving behaviors obtaining an overall precision of 82% at 92% of recall. The second one compares the scores between DriveSafe vs the commercial AXA Drive app obtaining a better valuation to its operation. DriveSafe is the first app for smartphones based on inbuilt sensors able to detect inattentive behaviors evaluating the quality of the driving at the same time. It represents a new disruptive technology because, on the one hand, it provides similar ADAS features that found in luxury cars, and on the other hand, it presents a viable alternative for the “blackboxes” installed in vehicles by the insurance companies.
  • Keywords
    computer vision; driver information systems; image recognition; mobile computing; road safety; DriveSafe; computer vision technique; driver safety application; driving behavior; iPhones; inattentive drivers; luxury cars; pattern recognition technique; Acceleration; Cameras; Roads; Safety; Sensors; Vehicles; Weaving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium Proceedings, 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/IVS.2014.6856461
  • Filename
    6856461