Evaluation of parking space detection systems using wireless cameras

  • David Lima IFAL
  • Eliana Almeida UFAL
  • Andre Aquino UFAL

Resumo


This work presents a deep analysis of na embedded system to detect free on-street parking slots by using wireless cameras. To allow distributed processing and the communication, intelligent boards were embedded in the cameras. Three different system architectures are considered: sentralized, hybrid and embedded. Each architeture was simulated considering the variation of the communications radius size, the amount of cameras and the amount of concurrent system queries. The results of simulation revealed that the performance of embedded proposal is better than the hybrid one in all scenarios. Additionaly, the embedded proposal was evaluated considering eventual cameras failure. It was observed that these failures influence directly the answer time of system.

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Publicado
20/07/2015
LIMA, David; ALMEIDA, Eliana; AQUINO, Andre. Evaluation of parking space detection systems using wireless cameras. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 7. , 2015, Recife. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2015 . p. 181-190. ISSN 2595-6183. DOI: https://doi.org/10.5753/sbcup.2015.10181.