@InProceedings{LotteAragShim:2019:BrPa3D,
               author = "Lotte, Rodolfo Georjute and Arag{\~a}o, Luiz Eduardo Oliveira e 
                         Cruz de and Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Toward smart cities through autonomous detection and 
                         reconstruction: the brazilian panorama on the 3D mapping",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2731--2734",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "3D mapping, Machine Learning, 3D reconstruction, Smart cities.",
             abstract = "Nowadays, by the use of intelligent techniques, every single 
                         letter, word, face, car, urban object, and many others, can be 
                         easily interpreted by a computer once it is filmed or pictured. 
                         Observing people movements, car traffics, are examples of 
                         information that can be automatically mapped by a computer. Once 
                         interpreted, thousands of insights are generated, and the way the 
                         things are currently implemented could be positively redirected. 
                         In case of strategic planning, the mapping of urban elements can 
                         reveal much about the urban context, thereby helping to determine 
                         the application of environmental and urbanization policies. In 
                         this paper we discuss the benefits on the availability of devices, 
                         platforms, the wide-spread technologies in terms of cloud 
                         services, intelligent algorithms on detection and reconstruction. 
                         What has been done to associate all those alternatives to better 
                         project urban planning? Or how to associate each of these 
                         extracted information and use them to analyse or even predict 
                         daily life situations? The discussion presented in this document, 
                         takes Brazil as object of study to show how the recent 
                         technologies will help the government to better serve the 
                         population.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3TUK8ME",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUK8ME",
           targetfile = "97259.pdf",
                 type = "Cartografia e fotogrametria",
        urlaccessdate = "27 abr. 2024"
}