Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing

Alsibai, Mohammad Hayyan and Syafiq Fauzi, Kamarulzaman and Hossam , Adden Alfarra and Naif, Yasir Hashim (2017) Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing. In: MATEC Web of Conferences: The 2nd International Conference on Automotive Innovation and Green Vehicle (AiGEV 2016) , 2-3 August 2016 , Malaysia Automotive Institute, Cyberjaya, Selangor. pp. 1-10., 90 (01034). ISSN 2261-236X

ftech-2017-hayyan-Real time emergency auto parking.pdf
Available under License Creative Commons Attribution.

Download (2MB) | Preview


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.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: auto parking system; safety driving; accident preventing system
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Engineering Technology
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 02 Jun 2017 06:58
Last Modified: 02 Feb 2018 07:00
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item