@InProceedings{AmorimMutSouBadOli:2019:SiEfLo,
               author = "Amorim, Lucas Luppi and Mutz, Filipe and De Souza, Alberto 
                         Ferreira and Badue, Claudine and Oliveira-Santos, Thiago",
          affiliation = "{Universidade Federal do Esp{\'{\i}}rito Santo} and Universidade 
                         Federal do Esp{\'{\i}}rito Santo, Instituto Federal do 
                         Esp{\'{\i}}rito Santo and {Universidade Federal do 
                         Esp{\'{\i}}rito Santo} and {Universidade Federal do 
                         Esp{\'{\i}}rito Santo} and {Universidade Federal do 
                         Esp{\'{\i}}rito Santo}",
                title = "Simple and effective load volume estimation in moving trucks using 
                         LiDARs",
            booktitle = "Proceedings...",
                 year = "2019",
               editor = "Oliveira, Luciano Rebou{\c{c}}as de and Sarder, Pinaki and Lage, 
                         Marcos and Sadlo, Filip",
         organization = "Conference on Graphics, Patterns and Images, 32. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "volume estimation, point cloud registration, mesh reconstruction, 
                         truck load measurement, LiDAR, GICP.",
             abstract = "Industries need to track the amount of materials and goods 
                         transported through processing units in order to optimize 
                         production. In large-scale industries, trucks and trains are 
                         commonly used for transportation. The manual evaluation of the 
                         volume of material being transported by these vehicles can be 
                         imprecise, inefficient, and even unsafe for employees. Therefore, 
                         this work presents an automated system for estimating the volume 
                         of load in moving trucks using a pair of multi-layer light 
                         detection and ranging (LiDAR) sensors. The sensors are mounted in 
                         a structure so that trucks can pass through without stopping. The 
                         proposed system can be used with any type of compact load such as 
                         grains, and powders. A mesh of the load is built and used for 
                         estimating the volume. A simple, efficient, and effective 
                         heuristic is proposed for tracking the trucks positions. The 
                         system was deployed and evaluated in a mining company in real 
                         conditions of operation. Experimental results indicate that the 
                         system produces accurate estimates of the volume of ore powder 
                         transported by trucks. The reconstruction of the loads and the 
                         estimative of their volumes are performed once the data is 
                         acquired and lasts less than 1.5 minutes on average.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "28-31 Oct. 2019",
                  doi = "10.1109/SIBGRAPI.2019.00036",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2019.00036",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/3U2TMQB",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/3U2TMQB",
           targetfile = "123.pdf",
        urlaccessdate = "2024, Apr. 28"
}