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.

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

Enviaments recents

  • 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
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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)
    Text en actes de congrés
    Accés obert
    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 ...

  • UAV visual and laser sensors fusion for detection and positioning in industrial applications 

    Guerra Paradas, Edmundo; Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (Multidisciplinary Digital Publishing Institute (MDPI), 2018-06-28)
    Article
    Accés obert
    This work presents a solution to localize Unmanned Autonomous Vehicles with respect to pipes and other cylindrical elements found in inspection and maintenance tasks both in industrial and civilian infrastructures. The ...

  • Improving engineering educators’ sustainability competencies by using competency maps: The EDINSOST project 

    Sánchez Carracedo, Fermín; Segalàs Coral, Jorge; Vidal López, Eva María; Martín Escofet, Carme; Climent Vilaró, Joan; López Álvarez, David; Cabré Garcia, José M. (Tempus Publications, 2018)
    Article
    Accés restringit per política de l'editorial
    EDINSOST is a project aimed at tackling the challenges facing society. It is funded by the Spanish R&D+i Program. The objective of the project is to establish a framework to facilitate the training of graduates capable of ...

  • Estudio cuantitativo del nivel de competencias transversales de los estudiantes del Grado en Ingeniería Informática 

    Sánchez Carracedo, Fermín; Ageno Pulido, Alicia; Aranda López, Juan; Cabré Garcia, José M.; Climent Vilaró, Joan; Gibert, Karina; Gil Martín, Joan Carles; Martín Escofet, Carme (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)
    Text en actes de congrés
    Accés obert
    La reciente introducción de las competencias transversales en los planes de estudios justifica la falta de investigaciones cuantitativas que evalúen, entre otros aspectos, el grado de adquisición de las mismas por parte ...

  • An innovative ICT solution for sewer systems 

    Grau Saldes, Antoni; Bolea Monte, Yolanda; Sanfeliu Cortés, Alberto; Puig-Pey Clavería, Ana María (EasyChair Publications, 2018)
    Text en actes de congrés
    Accés obert
    The objective of this paper is to explain the importance of research in wastewater transportation (sewage systems) using new technologies such as robotics systems and information and communication technologies (ICTs). ...

  • Aventuras y desventuras de un informe de sostenibilidad 

    Cabré Garcia, José M.; Climent Vilaró, Joan; Vidal López, Eva María; Sánchez Carracedo, Fermín; López Álvarez, David; Martín Escofet, Carme (2018)
    Comunicació de congrés
    Accés obert
    La introducción de la competencia sostenibilidad en los estudios de ingeniería no está resultando fácil. Paradójicamente, esto sucede en un escenario en el que el desarrollo de la competencia sostenibilidad resulta vital ...

  • Autonomous navigation of micro aerial vehicles: state estimation using fast and low-cost sensors 

    Santamaria Navarro, Àngel; Loianno, Giuseppe; Solà Ortega, Joan; Kumar, VIjay; Andrade-Cetto, Juan (2018)
    Article
    Accés obert
    The combination of visual and inertial sensors for state estimation has recently found wide echo in the robotics community, especially in the aerial robotics field, due to the lightweight and complementary characteristics ...

  • Humanoid seminar assessment in high technological studies 

    Grau Saldes, Antoni; Bolea Monte, Yolanda; Sanfeliu Cortés, Alberto (Yargi Yayinevi, 2018)
    Text en actes de congrés
    Accés obert
    This paper presents a qualitative assessment of the experience of integrating a humanoid robotics seminar in a mobile robotics-related subject at the Master’s degree on Automatic Control and Robotics. In this way, social ...

  • Using machine learning tools for protein database biocuration assistance 

    König, Caroline; Shaim, Ilmira; Vellido Alcacena, Alfredo; Romero Merino, Enrique; Alquézar Mancho, René; Giraldo Arjonilla, Jesús (Nature, 2018-07-05)
    Article
    Accés obert
    Biocuration in the omics sciences has become paramount, as research in these fields rapidly evolves towards increasingly data-dependent models. As a result, the management of web-accessible publicly-available databases ...

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