Title :
Approach for Parking Spaces Detection Based on ARM Embedded System
Author :
Yucheng Li ; Guohui Li ; Xingcai Zhao
Author_Institution :
Dept. of Autom., North China Univ. of Technol., Beijing, China
Abstract :
In order to detect parking spaces of outdoor parking, a proposal using cameras is given. Based on MAP, the problem is translated into the shortest path problem, the fast solving algorithm of which is present. It detects real-time parking space states, sent to the server, by the intelligent camera embedded ARM11, in which there exists the fast parking detection algorithm. Based on the C/S network model, parking information is displayed on computer terminals or LCD. Experimental results indicate that the system can be conveniently used to detect parking space states, and to manage parking information.
Keywords :
image sensors; road traffic; traffic engineering computing; video signal processing; ARM embedded system; C/S network model; LCD; MAP; computer terminals; fast parking detection algorithm; fast solving algorithm; intelligent camera embedded ARM11; parking spaces detection; shortest path problem; Artificial intelligence; Cybernetics; Man machine systems; network model; parking management; parking spaces detection; the shortest path;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.244