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
Collections
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Altres [2]
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Articles de revista [83]
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Capítols de llibre [14]
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Presentacions [2]
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Reports de recerca [11]
Recent Submissions
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Boosted Random ferns for object detection
(2018-02-01)
Article
Open AccessIn this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce ... -
Temporal segmentation of human actions in video sequences
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessMost of the published works concerning action recognition, usually assume that the action sequences have been previously segmented in time, that is, the action to be recognized starts with the first sequence frame and ends ... -
Computerized control strategy to prevent waste-water plants pollution
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference lecture
Open AccessPollution in coastal areas is very hazardous for population. The problem is even higher when this pollution occurs in bathing areas such as beaches in populated areas. In this work we present a new automatic control ... -
La evaluación continua: una aportación a como corregir algunos efectos negativos
(2018-01)
Article
Open Access -
Factor descent optimization for sparsification in graph SLAM
(IEEE Press, 2017)
Conference report
Open AccessIn the context of graph-based simultaneous localization and mapping, node pruning consists in removing a subset of nodes from the graph, while keeping the graph’s information content as close as possible to the original. ... -
Joint coarse-and-fine reasoning for deep optical flow
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessWe propose a novel representation for dense pixel-wise estimation tasks using CNNs that boosts accuracy and reduces training time, by explicitly exploiting joint coarse-and-fine reasoning. The coarse reasoning is performed ... -
Systematic analysis of primary sequence domain segments for the discrimination between class C GPCR subtypes
(2018-03-01)
Article
Restricted access - publisher's policyG-protein-coupled receptors (GPCRs) are a large and diverse super-family of eukaryotic cell membrane proteins that play an important physiological role as transmitters of extracellular signal. In this paper, we investigate ... -
A proposal to develop and assess professional skills in Engineering Final Year Projects
(Tempus Publications, 2018-03)
Article
Restricted access - publisher's policyIn this paper we discuss the result of piloting a methodology for Engineering Final Year Projects (FYP) assessment that takes into consideration professional skills acquisition. The FYP is structured around three milestones; ... -
Gain-scheduling multivariable LPV control of an irrigation canal system
(2016-07)
Article
Restricted access - publisher's policyThe purpose of this paper is to present a multivariable linear parameter varying (LPV) controller with a gain scheduling Smith Predictor (SP) scheme applicable to open-flow canal systems. This LPV controller based on SP ... -
Path and velocity trajectory selection in an anticipative kinodynamic motion planner for autonomous driving
(Springer, 2017)
Conference report
Restricted access - publisher's policyThis paper presents an approach for plan generation, seletion and pruning of trajectories for autonomous driving, capable of dealing with dynamic complex environments, such as driving in urban scenarios. The planner rst ... -
The city of the future: The challenge of the ECHORD++ Project
(Yargi Yayinevi, 2018)
Conference report
Open AccessFocussed on application-oriented research and development, ECHORD++ (E++) is being funded by the European Comission in the 7PM for five years to improve and increase the innovation in robotic technology. Activities include ... -
Autonomous navigation of micro aerial vehicles using high-rate and low-cost sensors
(2017-12-11)
Article
Open AccessThe 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 ...