NDLI: Vision-based automated parking system

Content Provider	IEEE Xplore Digital Library
Author	Al-Absi, H.R.H. Devaraj, J.D.D. Sebastian, P. Yap Vooi Voon
Copyright Year	2010
Description	Author affiliation: Computer and Information Science Department, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak, Malaysia (Al-Absi, H.R.H.) \|\| Software AG, 50250 Kuala Lumpur, Malaysia (Devaraj, J.D.D.) \|\| Department of Electronic Engineering, Universiti Tunku Abdul Rahman, 31900 Kampar, Perak, Malaysia (Yap Vooi Voon) \|\| Electrical and Electronics Engineering Department, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak, Malaysia (Sebastian, P.)
Abstract	This paper describes an approach to overcome a situation of monitoring and managing a parking area using a vision based automated parking system. With the rapid increase of cars the need to find available parking space in the most efficient manner, to avoid traffic congestion in a parking area, is becoming a necessity in car park management. Current car park management is dependent on either human personnel keeping track of the available car park spaces or a sensor based system that monitors the availability of each car park space or the overall number of available car park spaces. In both situations, the information available was only the total number of car park spaces available and not the actual location available. In addition, the installation and maintenance cost of a sensor based system is dependent on the number of sensors used in a car park. This paper shows a vision based system that is able to detect and indicate the available parking spaces in a car park. The methods utilized to detect available car park spaces were based on coordinates to indicate the regions of interest and a car classifier. This paper shows that the initial work done here has an accuracy that ranges from 90% to 100% for a 4 space car park. The work done indicated that the application of a vision based car park management system would be able to detect and indicate the available car park spaces
Starting Page	757
Ending Page	760
File Size	1052456
Page Count	4
File Format	PDF
ISBN	9781424471652
e-ISBN	9781424471676
DOI	10.1109/ISSPA.2010.5605408
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-10
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection region of interest object classification coordinate method car park vision based
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Real time car parking system using image processing

Illumination invariant stationary object detection

Gradient-based region of interest selection for faster pedestrian detection

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Vision-based automated parking system

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