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

  • 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 ...

  • El informe de sostenibilidad del Trabajo de Fin de Grado del área de las ingenierías 

    Climent Vilaró, Joan; Cabré Garcia, José M.; Sánchez Carracedo, Fermín; Martín Escofet, Carme; Vidal López, Eva María; López Álvarez, David (Universitat Politècnica de València, 2018-12)
    Article
    Open Access
    La elaboración del informe de sostenibilidad de un proyecto de ingeniería es ya una práctica habitual en todas las empresas importantes del sector TIC. Los ingenieros que formamos ahora en las universidades deberán, sin ...

  • Quadrotor multi-model for control purposes 

    Grau Saldes, Antoni; Bolea Monte, Yolanda; Sanfeliu Cortés, Alberto (Institute of Physics (IOP), 2018)
    Article
    Open Access
    In this work, a multi-model of a quadrotor is developed in order to control this system. The kinematic model of each part of the quadrotor will be derived using the Euler angles, and also the dynamics model of the quadrotor ...

  • Visual-based SLAM configurations for cooperative multi-UAV systems with a lead agent: an observability-based approach 

    Trujillo, Juan Carlos; Munguía Alcalá, Rodrigo Francisco; Guerra Paradas, Edmundo; Grau Saldes, Antoni (Multidisciplinary Digital Publishing Institute (MDPI), 2018-12-03)
    Article
    Open Access
    In this work, the problem of the cooperative visual-based SLAM for the class of multi-UA systems that integrates a lead agent has been addressed. In these kinds of systems, a team of aerial robots flying in formation must ...

  • GANimation: anatomically-aware facial animation from a single image 

    Pumarola Peris, Albert; Agudo Martínez, Antonio; Martinez, Aleix M.; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Springer, 2018)
    Conference report
    Open Access
    Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis. The most successful architecture is StarGAN, that conditions GANs' generation process with ...

  • 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 ...

  • Sustainable robotics solutions in smart cities: The challenge of the ECHORD++ Project 

    Grau Saldes, Antoni; Bolea Monte, Yolanda; Puig-Pey Clavería, Ana María; Sanfeliu Cortés, Alberto; Casanovas Garcia, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    The objective of this paper is to explain novel sustainable robotics solutions for cities. Those new proposals appear under the ECHORD++ project which is a good tool to meet academia and industry with the objective of ...

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