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

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...

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Main Authors:	Alsibai, Mohammad Hayyan, Syafiq Fauzi, Kamarulzaman, Hossam , Adden Alfarra, Naif, Yasir Hashim
Format:	Conference or Workshop Item
Language:	English
Published:	EDP Sciences 2017
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/16645/ http://umpir.ump.edu.my/id/eprint/16645/ http://umpir.ump.edu.my/id/eprint/16645/7/ftech-2017-hayyan-Real%20time%20emergency%20auto%20parking.pdf

id	ump-16645
recordtype	eprints
spelling	ump-166452018-02-02T07:00:05Z http://umpir.ump.edu.my/id/eprint/16645/ Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing Alsibai, Mohammad Hayyan Syafiq Fauzi, Kamarulzaman Hossam , Adden Alfarra Naif, Yasir Hashim QA76 Computer software T Technology (General) 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. EDP Sciences 2017 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/16645/7/ftech-2017-hayyan-Real%20time%20emergency%20auto%20parking.pdf 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 https://doi.org/10.1051/matecconf/20179001034
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software T Technology (General)
spellingShingle	QA76 Computer software T Technology (General) Alsibai, Mohammad Hayyan Syafiq Fauzi, Kamarulzaman Hossam , Adden Alfarra Naif, Yasir Hashim Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing
description	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.
format	Conference or Workshop Item
author	Alsibai, Mohammad Hayyan Syafiq Fauzi, Kamarulzaman Hossam , Adden Alfarra Naif, Yasir Hashim
author_facet	Alsibai, Mohammad Hayyan Syafiq Fauzi, Kamarulzaman Hossam , Adden Alfarra Naif, Yasir Hashim
author_sort	Alsibai, Mohammad Hayyan
title	Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing
title_short	Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing
title_full	Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing
title_fullStr	Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing
title_full_unstemmed	Real Time Emergency Auto Parking System in Driver Lethargic State for Accident Preventing
title_sort	real time emergency auto parking system in driver lethargic state for accident preventing
publisher	EDP Sciences
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/16645/ http://umpir.ump.edu.my/id/eprint/16645/ http://umpir.ump.edu.my/id/eprint/16645/7/ftech-2017-hayyan-Real%20time%20emergency%20auto%20parking.pdf
first_indexed	2023-09-18T22:22:32Z
last_indexed	2023-09-18T22:22:32Z
_version_	1777415751772143616

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

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