@InProceedings{MoraesCJMJMCSCSM:2017:PrQuAu,
               author = "Moraes, Lucas and Campos, Rafael Falci and Jr. , Luiz Carlos Carmo 
                         and Moreira, Lucas Stoppa and Juc{\'a}, Marco Aur{\'e}lio and 
                         Menezes, Alexandre and Carvalho, Jo{\~a}o Pedro and Silveira, 
                         Daniel Discini and Coelho, Thiago Vieira Nogueira and Santos, 
                         Alexandre Bessa dos and Marcato, Andre Luis Marques and 
                         {F{'a}b}",
                title = "Projeto de quadrotor aut{\^o}nomo de alta precis{\~a}o para 
                         sensoriamento remoto com uso de c{\^a}mera multiespectral 
                         georreferenciada",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4142--4149",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This paper shows the autonomous UAVs (Unmanned Aerial Vehicle) 
                         project and development to be applied in remote sensing using a 
                         specialized lightweight multispectral camera. The vehicle performs 
                         the flight, takeoff and landing procedures in total autonomous 
                         mode without need a human pilots remote assistance during the 
                         entire mission time. The algorithms for autonomous missions were 
                         developed in ROS (Robotic Operation System) framework, which is a 
                         well-established workstation environment for development in 
                         robotics platforms. A friendly graphical pre-mission interface was 
                         developed for an easy interaction with the operator depicting the 
                         geographical map of the desired area. The bioinspired optical flow 
                         technique was applied for merging the GPS data and the optical 
                         vector data for an enhancement of the aircraft position 
                         estimation, overcoming the position error of a single GPS module 
                         operation. The performance improvement in position estimation was 
                         58% better than the single GPS module and improves the autonomous 
                         navigation procedures. Moreover, a novel optical fiber sensor, 
                         immune to electromagnetic interference, was developed to measure 
                         the electrical current that feeds the electrical engines. After 
                         that, the multispectral camera was embedded into the aircraft to 
                         perform the NDVI (Normalized Difference Vegetation Index) 
                         calculation in previous target areas, which can be correlated with 
                         healthy vegetation areas.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59295",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2JC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2JC",
           targetfile = "59295.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}