Paper Info
Title
OASys: An opportunistic and agile system to detect free on-street parking using intelligent boards embedded in surveillance cameras.
Abstract
This work proposes an embedded system that opportunistically detects free on-street parking by using surveillance cameras. Intelligent boards are embedded in the cameras allowing a distributed processing and communication. The task of looking for free parking spaces demands a significant amount of drivers׳ time. This problem generally takes place in urban areas where there is a large number of vehicles and few available parking spaces (on-street or off-street). Decreasing the time spent in this task could reduce the traffic jam or, in an extreme perspective, alleviate the toxic gases emission or the fossil combustible consumption. Initially, it was evaluated three classical techniques for image processing applied to detect free on-street parking. The best one presents a success detection rate close to 100%. After that, it was evaluated the performance of the embedded system by using only the best image processing technique. This performance evaluation considers three different scenarios: centralized, hybrid, and embedded. The last one is the main proposal and contribution. The results reveal that embedded proposal had an average requisition time of 2.10s vs. 0.38s of centralized one. The hybrid one presents the worst results.
Year
DOI
Venue
2014
10.1016/j.jnca.2014.09.001
Journal of Network and Computer Applications
Keywords
DocType
Volume
Smart cities,Intelligent boards,Surveillance cameras,Embedded systems,Image processing
Journal
46
ISSN
Citations 
PageRank 
1084-8045
1
0.36
References 
Authors
9
5
Name
Order
Citations
PageRank
David H. S. Lima110.69
André L. L. De Aquino213215.88
Heitor Ramos319618.09
Eliana S. Almeida410.69
JOEL J. P. C. RODRIGUES53484341.72