Smart and Safe Vehicle Monitoring with Fuzzy Integral and Haar-like Features


  • Se-bin Oh Pukyong National University, Korea
  • Yeon Ho Chung Pukyong National University, Korea


Fatigue, Haar-like, Monitoring, Vehicle Safety


An on-board Android-based smart and safe vehicle monitoring system is presented. The on-board monitoring system (OMS) performs important monitoring functions: Record, Report and Alert (RRA). The Record function records front images of a moving vehicle. During the recording, any accidents or other emergency conditions will be automatically reported via the Report function for an emergency rescue operation. For the detection of shocks or accidents, we use acceleration based shock sensors that utilize fuzzy integral algorithm. The OMS also focuses on drowsiness that is largely regarded as the main cause of most accidents. The Haar-like feature is used to detect any sign of drowsiness and the Alert function is performed to alert the driver. All the vehicle-borne information is stored at a remote server via wireless communication links for later use or post-processing. A test bed has been developed and verified thoroughly for its accurate operations. The proposed smart and safe vehicle monitoring system offers advanced safety features and is expected to substantially reduce fatigue related accidents.


P. Viola and M. Jones, "Robust real-time object detection", In Second International Workshop On statistical and computational Theories of Vision Vancouver, Canada, 2001

J. Zhou, L. Jiang and L.Shen, "Haar-like features based eye detection algorithm and its implementation on TI TMS320DM6446 platform," International Workshop on Imaging Systems and Techniques, IST 2009, 2009

J.M. Mendel, "Fuzzy logic systems for engineering: a tutorial," Proc. of IEEE, Vol.83, No.3, pp.345-377, 1995


Alexander Kuranov, Rainer Lienhart, and Vadim Pisarevsky. "An Empirical Analysis of Boosting Algorithm for Rapid Objects with an Extended Set of Haar-like Features", Intel Technical Report MRL-TR, 2002

U.Trustschel, Bo.Sirois, D.Sommer, M.Golz and D.Edwards, "PERCLOS: An alertness measure of the past," Proc. of the Sixth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, pp.172-179, August 2011

J.Y.Hwang, S.I. Jeong and Y.H.Chung, "Development of vehicle motion monitoring module based on smartphone," Journal of Information and Communication Eng., KIICE, Vol.15, No.9, pp.1903-1909, 2011




Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.