• AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation 

      Gené Mola, Jordi; Ferrer Ferrer, Mar; Hemming, Jochen; van Dalfsen, Pieter; de Hoog, Dirk; Sanz Cortiella, Ricardo; Rosell Polo, Joan R.; Morros Rubió, Josep Ramon; Vilaplana Besler, Verónica; Ruiz Hidalgo, Javier; Gregorio López, Eduard (Elsevier, 2024-02)
      Article
      Accés obert
      The present dataset comprises a collection of RGB-D apple tree images that can be used to train and test computer vision-based fruit detection and sizing methods. This dataset encompasses two distinct sets of data obtained ...
    • Backscatter error bounds for the elastic lidar two-component inversion algorithm 

      Rocadenbosch Burillo, Francisco; Frasier, S.; Kumar, Dhiraj; Lange Vega, Diego; Gregorio López, Eduard; Sicard, Michaël (Institute of Electrical and Electronics Engineers (IEEE), 2012-11)
      Article
      Accés restringit per política de l'editorial
      Total backscatter-coefficient inversion error bounds for the two-component lidar inversion algorithm (so-called Fernald's or Klett-Fernald-Sasano's method) are derived in analytical form in response to the following three ...
    • Intercomparison of spanish advanced lidars in the framework of EARLINET 

      Sicard, Michaël; Md. Reba, Mohd Nadzri; Rocadenbosch Burillo, Francisco; Gregorio López, Eduard; Kumar, Dhiraj; Tomás, S; Comerón Tejero, Adolfo; Molero, Francisco; Pujadas, M; Guerrero Rascado, Juan Luis; Alados, L; Pedrós, R; Martinez Lozano, José Antonio (2007)
      Text en actes de congrés
      Accés obert
      To extend and reinforce the action of the EARLINET- ASOS project, a nucleus of Spanish advanced lidars was created. Four systems were intercompared satisfactorily in terms of backscatter coefficients at two elastic wavelengths.
    • Looking behind occlusions: a study on amodal segmentation for robust on-tree apple fruit size estimation 

      Gené-Mola, Jordi; Ferrer Ferrer, Mar; Gregorio López, Eduard; Blok, Pieter; Hemming, Jochen; Morros Rubió, Josep Ramon; Rosell Polo, Joan R.; Vilaplana Besler, Verónica; Ruiz Hidalgo, Javier (2023-06)
      Article
      Accés obert
      The detection and sizing of fruits with computer vision methods is of interest because it provides relevant information to improve the management of orchard farming. However, the presence of partially occluded fruits limits ...
    • Parameter design of a biaxial lidar ceilometer 

      Gregorio López, Eduard; Rocadenbosch Burillo, Francisco; Tiana Alsina, Jordi; Comerón Tejero, Adolfo; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon (2012-07-11)
      Article
      Accés restringit per política de l'editorial
      This paper presents parameter design methodology and related optomechanical engineering of a 905-nm diode-laser biaxial, eye-safe lidar ceilometer prototype for cloud-height monitoring. Starting with a brief review of the ...
    • Simultaneous fruit detection and size estimation using multitask deep neural networks 

      Ferrer Ferrer, Mar; Ruiz Hidalgo, Javier; Gregorio López, Eduard; Vilaplana Besler, Verónica; Morros Rubió, Josep Ramon; Gené-Mola, Jordi (Elsevier, 2023-09)
      Article
      Accés obert
      The measurement of fruit size is of great interest to estimate the yield and predict the harvest resources in advance. This work proposes a novel technique for in-field apple detection and measurement based on Deep Neural ...
    • Uso de redes neuronales convolucionales para la detección remota de frutos con cámaras RGB-D 

      Gené Mola, Jordi; Vilaplana Besler, Verónica; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Gregorio López, Eduard (Universidad de Zaragoza (UZA), 2019)
      Text en actes de congrés
      Accés obert
      La detección remota de frutos será una herramienta indispensable para la gestión agronómica optimizada y sostenible de las plantaciones frutícolas del futuro, con aplicaciones en previsión de cosecha, robotización de la ...