Now showing items 1-9 of 9

  • Combining depth with appearance images for object detection using online learning 

    Vaquero Gómez, Víctor (Universitat Politècnica de Catalunya, 2014-06)
    Master thesis
    Restricted access - author's decision
    This Master's Thesis presents a new developed algorithm that merges Appearance and Depth Images in order to perform the detection of objects in scenes. This new algorithm uses the approach of the Online Learning Random ...
  • Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios 

    Vaquero Gómez, Víctor; del Pino Bastida, Iván; Moreno-Noguer, Francesc; Solà Ortega, Joan; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (IEEE Press, 2017)
    Conference report
    Open Access
    Vehicle detection and tracking is a core ingredient for developing autonomous driving applications in urban scenarios. Recent image-based Deep Learning (DL) techniques are obtaining breakthrough results in these perceptive ...
  • Deep lidar CNN to understand the dynamics of moving vehicles 

    Vaquero Gómez, Víctor; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Perception technologies in Autonomous Driving are experiencing their golden age due to the advances in Deep Learning. Yet, most of these systems rely on the semantically rich information of RGB images. Deep Learning solutions ...
  • Hallucinating dense optical flow from sparse lidar for autonomous vehicles 

    Vaquero Gómez, Víctor; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    In this paper we propose a novel approach to estimate dense optical flow from sparse lidar data acquired on an autonomous vehicle. This is intended to be used as a drop-in replacement of any image-based optical flow system ...
  • Joint coarse-and-fine reasoning for deep optical flow 

    Vaquero Gómez, Víctor; Ros, German; Moreno-Noguer, Francesc; López, Antonio Manuel; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference report
    Open Access
    We propose a novel representation for dense pixel-wise estimation tasks using CNNs that boosts accuracy and reduces training time, by explicitly exploiting joint coarse-and-fine reasoning. The coarse reasoning is performed ...
  • Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals 

    Vaquero Gómez, Víctor; Repiso Polo, Ely; Sanfeliu Cortés, Alberto; Vissers, John; Kwakkernaat, Maurice (Springer, 2015)
    Conference report
    Open Access
    The presented paper addresses the problem of detecting and tracking moving objects for autonomous cargo handling in port terminals using a perception system which input data is a single layer laser scanner. A computationally ...
  • Low resolution lidar-based multi object tracking for driving applications 

    del Pino Bastida, Iván; Vaquero Gómez, Víctor; Massini, Beatrice; Solà Ortega, Joan; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (Springer, 2017)
    Conference report
    Open Access
    Vehicle detection and tracking in real scenarios are key com- ponents to develop assisted and autonomous driving systems. Lidar sen- sors are specially suitable for this task, as they bring robustness to harsh weather ...
  • Real time people detection combining appearance and depth image spaces using boosted random ferns 

    Vaquero Gómez, Víctor; Villamizar Vergel, Michael Alejandro; Sanfeliu Cortés, Alberto (Springer, 2015)
    Conference report
    Open Access
    This paper presents a robust and real-time method for people detection in urban and crowed environments. Unlike other conventional methods which either focus on single features or compute multiple and independent classifiers ...
  • Robust and real-time detection and tracking of moving objects with minimum 2d LiDAR information to advance autonomous cargo handling in ports 

    Vaquero Gómez, Víctor; Repiso Polo, Ely; Sanfeliu Cortés, Alberto (Multidisciplinary Digital Publishing Institute (MDPI), 2018-12-29)
    Article
    Open Access
    Detecting and tracking moving objects (DATMO) is an essential component for autonomous driving and transportation. In this paper, we present a computationally low-cost and robust DATMO system which uses as input only 2D ...