Now showing items 1-4 of 4

    • Automatic semantic maps generation from lexical annotations 

      Rangel, José Carlos; Cazorla, Miguel; García Varea, Ismael; Romero González, Cristina; Martínez Gómez, Jesus (03/15/2018)
      The generation of semantic environment representations is still an open problem in robotics. Most of the current proposals are based on metric representations, and incorporate semantic information in a supervised fashion. ...
    • Computing Image Descriptors from Annotations Acquired from External Tools 

      Rangel, José Carlos; Cazorla, Miguel; García Varea, Ismael; Martínez Gómez, Jesus; Fromont, Élisa; Sebban, Marc (11/28/2015)
      Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative ...
    • LexToMap: lexical-based topological mapping 

      Rangel, José Carlos; Martínez Gómez, Jesus; García Varea, Ismael; Cazorla, Miguel (11/30/2016)
      Any robot should be provided with a proper representation of its environment in order to perform navigation and other tasks. In addition to metrical approaches, topological mapping generates graph representations in which ...
    • Semi-supervised 3D object recognition through CNN labeling 

      Rangel, José Carlos; Martínez Gómez, Jesus; Romero González, Cristina; García Varea, Ismael; Cazorla, Miguel (04/01/2018)
      Despite the outstanding results of Convolutional Neural Networks (CNNs) in object recognition and classification, there are still some open problems to address when applying these solutions to real-world problems. Specifically, ...