• Autoencoders for semi-supervised water level modeling in sewer pipes with sparse labeled data 

      Plana Rius, Ferran; Philipsen, Mark P.; Mirats Tur, Josep Maria; Moeslund, Thomas; Angulo Bahón, Cecilio; Casas, Marc (2022-01-24)
      Article
      Accés obert
      More frequent and thorough inspection of sewer pipes has the potential to save billions in utilities. However, the amount and quality of inspection are impeded by an imprecise and highly subjective manual process. It ...
    • Convolutional neural network training with dynamic epoch ordering 

      Plana Rius, Ferran; Angulo Bahón, Cecilio; Casas, Marc; Mirats Tur, Josep Maria (IOS Press, 2019)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      The paper presented exposes a novel approach to feed data to a Convolutional Neural Network (CNN) while training. Normally, neural networks are fed with shuffled data without any control of what type of examples contains ...
    • Sewer defects detection from depth images using deep learning 

      Plana Rius, Ferran (Universitat Politècnica de Catalunya, 2016-10-05)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
    • Shedding light on sewer pipes : deep learning perception approaches for autonomous sewer robots 

      Plana Rius, Ferran (Universitat Politècnica de Catalunya, 2023-03-02)
      Tesi
      Accés restringit per acord de confidencialitat
      (English) Sewerage is a vital infrastructure for society’s day-to-day life. Its maintenance is a priority and current European legislation increases the demand of a proper inspection. Being a complex access and dangerous ...