Desafios na Gerência de Estacionamentos por Imagem

  • Paulo R. L. de Almeida UFPR
  • Eduardo C. de Almeida UFPR

Resumo


Com o aumento na população urbana, as cidades tem grande necessidade de utilizar métodos apoiados por técnicas de Inteligência Artificial para melhorar a mobilidade urbana em trânsitos cada vez mais congestionados pelo crescente número de veículos em circulação. Estudos demonstram que o problema de congestionamento de trânsito é agravado em até 30% por veículos procurando vagas de estacionamento. Neste artigo sumarizamos problemas em aberto na gerência de vagas de estacionamento por imagem e listamos nossos esforços de pesquisa combinando técnicas de aprendizado de máquina, edge computing e processamento de imagens.
Palavras-chave: Estacionamento, aprendizado de máquina, visão computacional

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Publicado
18/07/2021
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ALMEIDA, Paulo R. L. de; ALMEIDA, Eduardo C. de. Desafios na Gerência de Estacionamentos por Imagem. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 48. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 106-113. ISSN 2595-6205. DOI: https://doi.org/10.5753/semish.2021.15812.