VIS - Visió Artificial i Sistemes Intel.ligents

 

Recerca bàsica i aplicada al desenvolupament de sistemes intel•ligents capaços d'interactuar amb el món de forma autònoma i ubica. Aquests sistemes hauran de percebre, raonar, planificar, actuar i aprendre de l'experiència prèvia. El grup treballa activament en tres àrees: robòtica social i aèria ; visió per computador i reconeixement estructural de patrons. Dins de la robòtica social s’està treballant en els següents temes: Interacció robot-humà; localització i navegació social i autònoma de robots; localització i construcció simultània de mapes (SLAM); robòtica ubiqua; robòtica mòbil cooperativa; i robòtica aèria. En visió per computador es treballa en: seguiment, identificació i reconeixement de objectes; en xarxes de sensors de càmeres; fusió de dades; i percepció cooperativa. I en reconeixement estructural de patrons s'està treballant en mètodes de síntesi i coincidència de grafs i el la seva aplicació a la robòtica.

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

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

Recent Submissions

  • EKF-based parameter identification of multi-rotor unmanned aerial vehiclesmodels 

    Munguía Alcalá, Rodrigo Francisco; Urzúa Sarquis, Isidro; Grau Saldes, Antoni (Multidisciplinary Digital Publishing Institute (MDPI), 2019-09-26)
    Article
    Open Access
    This work presents a method for estimating the model parameters of multi-rotor unmanned aerial vehicles by means of an extended Kalman filter. Different from test-bed based identification methods, the proposed approach ...

  • Public entities driven robotic innovation in urban areas 

    Puig-Pey Clavería, Ana María; Bolea Monte, Yolanda; Grau Saldes, Antoni; Casanovas Garcia, Josep (2017-03)
    Article
    Open Access
    Cities present new challenges and needs to satisfy and improve lifestyle for their citizens under the concept “Smart City”. In order to achieve this goal in a global manner, new technologies are required as the robotic ...

  • Model-based sensor supervision inland navigation networks: Cuinchy-Fontinettes case study 

    Blesa Izquierdo, Joaquim; Horváth, Klaudia; Duviella, Eric; Puig Cayuela, Vicenç; Bolea Monte, Yolanda; Rajaoarisoa, Lala H.; Chuquet, Karine (Universidad de Cantabria, 2014-09-01)
    Article
    Open Access
    In recent years, inland navigation networks bene¿t from the innovation of the instrumentation and SCADA systems. These data acquisition and control systems lead to the improvement of the management of these networks. ...

  • The AEROARMS project: aerial robots with advanced manipulation capabilities for inspection and maintenance 

    Ollero Baturone, Aníbal; Heredia Benot, Guillermo; Franchi, Antonio; Sanfeliu Cortés, Alberto (2018-08-13)
    Article
    Open Access
    This article summarizes new aerial robotic manipulation technologies and methods-aerial robotic manipulators with dual arms and multidirectional thrusters-developed in the AEROARMS project for outdoor industrial inspection ...

  • 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 ...

  • Image processing techniques in vision-based robot navigation 

    Munguía Alcalá, Rodrigo Francisco; Bolea Monte, Yolanda; Grau Saldes, Antoni (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Restricted access - publisher's policy
    Motivated by the problems of vision-based mobile robot map building and localization, we present a comparative study of statistical methods for matching image features in a wide base line between learning and recognition ...

  • Anticipatory kinodynamic motion planner for computing the best path and velocity trajectory in autonomous driving 

    Pérez Talamino, Jordi; Sanfeliu Cortés, Alberto (2019-04-01)
    Article
    Restricted access - publisher's policy
    This paper presents an approach, using an anticipatory kinodynamic motion planner, for obtaining the best trajectory and velocity profile for autonomous driving in dynamic complex environments, such as driving in urban ...

  • Geometry-aware network for non-rigid shape prediction from a single view 

    Pumarola Peris, Albert; Agudo Martínez, Antonio; Porzi, Lorenzo; Sanfeliu Cortés, Alberto; Lepetit, Vincent; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the surface, and our method is robust to the ...

  • Unsupervised person image synthesis in arbitrary poses 

    Pumarola Peris, Albert; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    We present a novel approach for synthesizing photo-realistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desired pose represented by a 2D skeleton, our ...

  • 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 ...

  • Considering the anchoring problem in robotic intelligent bin picking 

    Escudero Rodrigo, Diego; Alquézar Mancho, René (IOS Press, 2018)
    Conference report
    Open Access
    Random Bin Picking means the selection by a robot of a particular item from a container (or bin) in which there are many items randomly distributed. Generalist robots and the Anchoring Problem should be considered if we ...

  • Robot approaching and engaging people in a human-robot companion framework 

    Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    This paper presents a new model to make robots capable of approaching and engaging people with a human-like behavior, while they are walking in a side-by-side formation with a person. This method extends our previous work ...

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