Exploració per autor "Andrade-Cetto, Juan"
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 obertOutdoor 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 obertOutdoor 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)
Text en actes de congrés
Accés obert -
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 obertIncreasing 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 obertIn 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)
Text en actes de congrés
Accés obertVehicle 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 obertWe 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)
Text en actes de congrés
Accés obertPose 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
Accés obertWe 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 obertWe 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 obertWe 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 obertThis 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
Accés obertWe 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)
Text en actes de congrés
Accés obertWe 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)
Text en actes de congrés
Accés obertThis 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 obertWe 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 obertAquesta 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 obertThis 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 obertEvent 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 obertEvent-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 ...