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
Link To Document