Ara es mostren els items 14-33 de 97

    • Calibrating an outdoor distributed camera network using laser range finder data 

      Ortega Jiménez, Agustín Alberto; Dias, Bruno; Teniente Avilés, Ernesto; Bernardino Malheiro, Alexandre José; Gaspar, José; Andrade-Cetto, Juan (IEEE Press. Institute of Electrical and Electronics Engineers, 2009-10-11)
      Text en actes de congrés
      Accés obert
      Outdoor camera networks are becoming ubiquitous in critical urban areas of large cities around the world. Although current applications of camera networks are mostly limited to video surveillance, recent research projects ...
    • Calibration of an outdoor distributed camera network with a 3D point cloud 

      Ortega, Agustin; Silva, Manuel; Teniente Avilés, Ernesto Homar; Ferreira, Ricardo; Bernardino Bernardino Malheiro, Alexandre José; Gaspar, José; Andrade-Cetto, Juan (2014)
      Article
      Accés obert
      Outdoor camera networks are becoming ubiquitous in critical urban areas of the largest cities around the world. Although current applications of camera networks are mostly tailored to video surveillance, recent research ...
    • Combination of distributed camera network and laser-based 3D mapping for urban service robots 

      Andrade-Cetto, Juan; Ortega Jiménez, Agustín Alberto; Teniente Avilés, Ernesto; Trulls Fortuny, Eduard; Valencia Carreño, Rafael; Sanfeliu Cortés, Alberto (2009)
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    • Control-oriented estimation of the exchange current density in PEM fuel cells via stochastic filtering 

      Aguilar Plazaola, José Agustín; Andrade-Cetto, Juan; Husar, Attila Peter (2022-08)
      Article
      Accés obert
      Increasing efficiency and durability of fuel cells can be achieved through advanced model-based optimal control of its operating conditions, and the efficient online estimation of fuel cell parameters and internal states ...
    • Decentralized Sensor Fusion for Ubiquitous Networking Robotics in Urban Areas 

      Spaan, Matthijs T.J.; Sequeira, Joao; Ollero, A.; Moreno, Plinio; Mirats Tur, Josep Maria; Merino, Luis; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan; Barbosa, Marco; Bowden, Richard; Capitan, Jesus; Corominas Murtra, Andreu; Gilbert, Andrew; Illingworth, John (2010-03)
      Article
      Accés obert
      In this article we explain the architecture for the environment and sensors that has been built for the European project URUS (Ubiquitous Networking Robotics in Urban Sites), a project whose objective is to develop an ...
    • 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)
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      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 ...
    • Dense entropy decrease estimation for mobile robot exploration 

      Vallvé Navarro, Joan; Andrade-Cetto, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés obert
      We propose a method for the computation of entropy decrease in C-space. These estimates are then used to evaluate candidate exploratory trajectories in the context of autonomous mobile robot mapping. The method evaluates ...
    • Dense outdoor 3D mapping and navigation with Pose SLAM 

      Teniente Avilés, Ernesto; Valencia Carreño, Rafael; Andrade-Cetto, Juan (Escuela Superior de Ingenieros de la Universidad de Sevilla, 2011)
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      Accés obert
      Pose SLAM is the variant of SLAM where only the robot trajectory is estimated and in which landmarks are solely used to compute relative constraints between robot poses. In previous work, we have developed efficient methods ...
    • Detection performance evaluation of boosted random Ferns 

      Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (Springer, 2011)
      Text en actes de congrés
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      We present an experimental evaluation of Boosted Random Ferns in terms of the detection performance and the training data. We show that adding an iterative bootstrapping phase during the learning of the object classifier, ...
    • Dual-branch CNNs for vehicle detection and tracking on LiDAR data 

      Vaquero Gómez, Víctor; del Pino Bastida, Iván; Moreno-Noguer, Francesc; Solà Ortega, Joan; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (2021-11-01)
      Article
      Accés obert
      We present a novel vehicle detection and tracking system that works solely on 3D LiDAR information. Our approach segments vehicles using a dual-view representation of the 3D LiDAR point cloud on two independently trained ...
    • Dynamic object detection fusing LIDAR data and images 

      Ortega Jimenez, Agustin Alberto; Andrade-Cetto, Juan (2014)
      Comunicació de congrés
      Accés obert
      We present a method to segment dynamic objects on point clouds using images and 3D laser data. Per-pixel background classes are adapted online as Gaussian Mixtures independently for each sensor. The learned classes are ...
    • ECMR’13 Special Issue 

      Andrade-Cetto, Juan; Frese, Udo; Moritz, Tenorth (2015)
      Article
      Accés obert
      This special issue contains extended versions of the best papers from the 6th European Conference on Mobile Robots (ECMR). ECMR is a biennial European forum, internationally open, that allows roboticists throughout Europe ...
    • Efficient 3D object detection using multiple pose-specific classifiers 

      Villamizar Vergel, Michael Alejandro; Grabner, Helmut; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto; Van Gool, Luc; Moreno-Noguer, Francesc (2011)
      Text en actes de congrés
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      We propose an efficient method for object localization and 3D pose estimation. A two-step approach is used. In the first step, a pose estimator is evaluated in the input images in order to estimate potential object ...
    • Efficient rotation invariant object detection using boosted random Ferns 

      Villamizar Vergel, Michael Alejandro; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (2010)
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      We present a new approach for building an efficient and robust classifier for the two class problem, that localizes objects that may appear in the image under different orientations. In contrast to other works that address ...
    • Efficient vision-based loop closing techniques for delayed state robot mapping 

      Ila, Viorela Simona; Andrade-Cetto, Juan; Sanfeliu Cortés, Alberto (ESF-JSPS, 2008)
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      This paper shows results on outdoor vision-based loop closing for Simultaneous Localization and Mapping. Our experiments show that for loops of over 50m, the pose estimates maintained with a Delayed-State Extended Information ...
    • Egomotion from event-based SNN optical flow 

      Tian, Yi; Andrade-Cetto, Juan (Association for Computing Machinery (ACM), 2023)
      Text en actes de congrés
      Accés obert
      We present a method for computing egomotion using event cameras with a pre-trained optical flow spiking neural network (SNN). To address the aperture problem encountered in the sparse and noisy normal flow of the initial ...
    • Environment learning for indoor mobile robots 

      Andrade-Cetto, Juan (Universitat Politècnica de Catalunya, 2003-04-08)
      Tesi
      Accés obert
      Aquesta tesi tracta el problema de l'aprenentatge automàtic d'entorns estructurats n robòtica mòbil. Particularment, l'extracció de característiques a partir dels senyals dels sensors, la construcció autònoma de mapes, i ...
    • Estimation of camera calibration uncertainty using LIDAR data 

      Ortega Jimenez, Agustin Alberto; Galego, Ricardo; Ferreira, Ricardo; Bernardino Bernardino Malheiro, Alexandre José; Gaspar, José; Andrade-Cetto, Juan (2013)
      Text en actes de congrés
      Accés obert
      This paper presents an analysis of uncertainty in the calibration of a network of cameras. A global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with non overlapping ¿elds of view by means of ...
    • Event transformer FlowNet for optical flow estimation 

      Tian, Yi; Andrade-Cetto, Juan (2022)
      Text en actes de congrés
      Accés obert
      Event cameras are bioinspired sensors that produce asynchronous and sparse streams of events at image locations where intensity change is detected. They can detect fast motion with low latency, high dynamic range, and low ...
    • Event-based line SLAM in real-time 

      Chamorro Hernández, William Oswaldo; Solà Ortega, Joan; Andrade-Cetto, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Article
      Accés obert
      Event-based cameras generate asynchronous streams of events, triggered proportionally to the logarithmic change of brightness in the scene. These cameras have very low latency and high dynamic range suitable to address ...