L'objectiu principal del Grup de Visió Artificial i Sistemes Intel·ligents (VIS) és la recerca bàsica i aplicada al desenvolupament de sistemes intel·ligents capaços d'interactuar amb el món de manera autònoma i ubiqua. Aquests sistemes intel·ligents hauran de percebre, raonar, planificar, actuar i aprendre de l'experiència prèvia. El Grup treballa activament en temes com ara la segmentació i l'etiquetatge robust d'imatges en color, el reconeixement de formes, l'aprenentatge i reconeixement d'objectes invariant a les condicions d'il·luminació i del punt de vista, el seguiment d'objectes i persones, la biomètrica, el processament i l'anàlisi d'imatges mèdiques per a l'ajuda a la diagnosi, l'anàlisi de documents, la navegació de robots mòbils, l'autolocalització i la construcció de mapes concurrent, el control de sistemes de retroalimentació visual o la interacció persona-màquina. Els camps d'interès per a l'aplicació d'aquesta recerca són, entre altres, la indústria de l`automòbil i el transport, l'assistència

http://futur.upc.edu/VIS

The Artificial Vision and Intelligent Systems Group (VIS) carries out basic and applied research with the aim of understanding and designing intelligent systems that are capable of interacting with the real world in an autonomous and wide-reaching manner. Such intelligent systems must perceive, reason, plan, act and learn from previous experiences. The group works on the following topics: robust colour image segmentation and labelling, pattern recognition, viewpoint invariant object learning and recognition, object tracking, face tracking, biometrics, processing and analysis of medical images for diagnosis, document analysis, mobile robot navigation, simultaneous localisation and map building, visual servoing, and human-computer interaction. The possible areas of application of the VIS?s research include the automotive and transport industry, the biomedical imaging industry, the space industry, robotics applications, security, home and office automation, the entertainment industry, and future computing enviro

http://futur.upc.edu/VIS

The Artificial Vision and Intelligent Systems Group (VIS) carries out basic and applied research with the aim of understanding and designing intelligent systems that are capable of interacting with the real world in an autonomous and wide-reaching manner. Such intelligent systems must perceive, reason, plan, act and learn from previous experiences. The group works on the following topics: robust colour image segmentation and labelling, pattern recognition, viewpoint invariant object learning and recognition, object tracking, face tracking, biometrics, processing and analysis of medical images for diagnosis, document analysis, mobile robot navigation, simultaneous localisation and map building, visual servoing, and human-computer interaction. The possible areas of application of the VIS?s research include the automotive and transport industry, the biomedical imaging industry, the space industry, robotics applications, security, home and office automation, the entertainment industry, and future computing enviro

http://futur.upc.edu/VIS

Envíos recientes

  • Nonlinear model predictive control for aerial manipulation 

    Lunni, Dario; Santamaria Navarro, Àngel; Rossi, Roberto; Rocco, Paolo; Bascetta, Luca; Andrade-Cetto, Juan (2017)
    Texto en actas de congreso
    Acceso abierto
    This paper presents a nonlinear model predictive controller to follow desired 3D trajectories with the end effector of an unmanned aerial manipulator (i.e., a multirotor with a serial arm attached). To the knowledge ...
  • A flexible hardware-in-the-loop architecture for UAVs 

    Lepej, Peter; Santamaria Navarro, Àngel; Solà, Joan (2017)
    Texto en actas de congreso
    Acceso abierto
    As robotic technology matures, fully autonomous robots become a realistic possibility, but demand very complex solutions to be rapidly engineered. In order to be able to quickly set up a working ...
  • Trajectory generation for unmanned aerial manipulators through quadratic programming 

    Rossi, Roberto; Santamaria Navarro, Àngel; Andrade-Cetto, Juan; Rocco, Paolo (Institute of Electrical and Electronics Engineers (IEEE), 2017-04-01)
    Artículo
    Acceso abierto
    In this paper a trajectory generation approach using quadratic programming is described for aerial manipulation, i.e. for the control of an aerial vehicle equipped with a robot arm. The proposed approach ...
  • Robot social-aware navigation framework to accompany people walking side-by-side 

    Ferrer, Gonzalo; Garrell Zulueta, Anais; Herrero Cotarelo, Fernando; Sanfeliu Cortés, Alberto (2017-04-01)
    Artículo
    Acceso abierto
    We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot ...
  • Vision-based SLAM system for MAVs in GPS-denied environments 

    Urzua, Sarquis; Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (2017-06)
    Artículo
    Acceso abierto
    Using a camera, a micro aerial vehicle (MAV) can perform visual-based navigation in periods or circumstances when GPS is not available, or when it is partially available. In this context, the monocular simultaneous ...
  • Un nuevo método cooperativo para encontrar personas en un entorno urbano con robots móviles 

    Goldhoorn, Alex; Garrell Zulueta, Anais; Alquézar Mancho, René; Sanfeliu Cortés, Alberto (Comité Español de Automática (CEA-IFAC), 2016)
    Texto en actas de congreso
    Acceso abierto
    Se presenta un nuevo método para localizar a personas en entornos urbanos usando robots móviles sociales que trabajan de manera cooperativa, el cual supera las limitaciones de enfoques ya existentes, que se adaptan a ...
  • Planar PØP: feature-less pose estimation with applications in UAV localization 

    Amor Martinez, Adrian; Santamaria Navarro, Àngel; Herrero Cotarelo, Fernando; Ruiz, Alberto; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Texto en actas de congreso
    Acceso abierto
    We present a featureless pose estimation method that, in contrast to current Perspective-n-Point (PnP) approaches, it does not require n point correspondences to obtain the camera pose, allowing for pose estimation from ...
  • Action recognition using the Rf Transform on optical flow images 

    Carmona Leyva, José María; Climent Vilaró, Joan (SCITEPRESS, 2017)
    Texto en actas de congreso
    Acceso abierto
    The objective of this paper is the automatic recognition of human actions in video sequences. The use of spatio-temporal features for action recognition has become very popular in recent literature Instead of extracting ...
  • El proyecto EDINSOST: Inclusión de los ODS en la educación superior 

    Sánchez Carracedo, Fermín; Segalàs Coral, Jorge; Cabré Garcia, José M.; Climent Vilaró, Joan; López Álvarez, David; Martín Escofet, Carme; Vidal López, Eva María (Universidad Autónoma de Madrid, 2017)
    Texto en actas de congreso
    Acceso abierto
    En esta comunicación se presenta un mapa de la competencia Sostenibilidad fácilmente adaptable a cualquier titulación de educación superior. El mapa ha sido desarrollado dentro del proyecto EDINSOST, cuyo objetivo es la ...
  • A solution for robotized sampling in wastewater plants 

    Guerra Paradas, Edmundo; Bolea Monte, Yolanda; Grau Saldes, Antoni; Munguía Alcalá, Rodrigo Francisco; Gámiz Caro, Javier Francisco (IEEE Press, 2016)
    Texto en actas de congreso
    Acceso abierto
    This work presents a solution to automatize the water sampling process of outdoor basins in a wastewater treatment plant. The system proposed is based on the utilization of collaborative robotics: a team of an UAV and a ...

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