Real time emergency auto parking system in driver lethargic state for accident preventing. Paper presented at the 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016), Selangor, Malaysia, 2-3 August 2016.

Author(s)
Alsibai, M.H. Kamarulzaman, S.F. Alfarra, H.A. & Naif, Y.H.
Year
Abstract

This paper is presenting a safety driving and accident preventing system which uses a vision sensor to detect driver drowsiness and lethargic states. The system notifies the driver in dangerous situations. Moreover, in case the driver is unable to conduct safe driving, emergency parking system is to be activated. The system comprises two stages. First is a drowsiness detection stage which uses a smartphone or a tablet computer as a processing unit. The second stage is the vehicle emergency parking control system which uses a microcontroller unit (MCU). The MCU is connected to an alarm system, hazard lights and a vehicle control interface. The experiment results showed realistic real time responses. Drowsiness detection processing time average is about 480 ms / frame. Alarming system is responding perfectly within 500 ms. Simulation results illustrate the effectiveness of the developed schemes for the auto parking system in real time. The average time from drowsiness detection to fully parking, if the vehicle is moving at the speed of 100 km/s, is about 15s. (Author/publisher)

Publication

Library number
20210157 ST [electronic version only]
Source

MATEC Web of Conferences, Vol. 90 (2017), No. 01034, 10 p., 15 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.