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Ciudad Real, Spain

Guerrero-Gomez-Olmedo R.,GRAM | Lopez-Sastre R.J.,GRAM | Maldonado-Bascon S.,GRAM | Fernandez-Caballero A.,UCLM
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

We address the problem of vehicle detection and tracking for traffic monitoring in Smart City applications. We introduce a novel approach for vehicle tracking by simultaneous detection and viewpoint estimation. An Extended Kalman Filter (EKF) is adapted to describe the vehicle's motion when not only the pose of the object is measured, but also its viewpoint with respect to the camera. Specifically, we enhance the motion model with observations of the vehicle viewpoint jointly extracted by the detection step. The approach is evaluated on a novel and challenging dataset with different video sequences recorded at urban environments, which is released with the paper. Our experimental validation confirms that the integration of an EKF with both detections and viewpoint estimations results beneficial. © 2013 Springer-Verlag. Source

Cuadra Troncoso J.M.,Spanish University for Distance Education (UNED) | Alvarez-Sanchez J.R.,Spanish University for Distance Education (UNED) | De La Paz Lopez F.,Spanish University for Distance Education (UNED) | Fernandez-Caballero A.,UCLM
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

When using raw 2D range measures to delimit the border for the free area sensed by a robot, the noise makes the sensor to yield a cloud of points, which is an imprecise border. This vagueness pose some problems for robot navigation using area center methods, due to free area split points locations. The basic method, when locating split points, does not take into account environmental features, only the raw cloud of points. In order to determine accurately such environmental features we use a novel range scan segmentation method. This method has the interesting characteristic of being adaptive to environment noise, in the sense that we do not need to fix noise standard deviation, even different areas of the same scan can have different deviations, e. g. a wall besides a hedge. Procedure execution time is in the order of milliseconds for modern processors. Information about interesting navigational features is used to improve area center navigation by means of determining safer split points and developing the idea of dynamic split point. A dynamic split point change its position to a new feature if this new feature is considered more dangerous than the one marked by the split point. © 2011 Springer-Verlag Berlin Heidelberg. Source

Guerrero A.R.,UC | Agudo T.N.,UCLM
CEUR Workshop Proceedings | Year: 2015

The objective of this study was to identify the specialization profiles which are most required by companies and organizations in Lima, through the analysis of job postings published in the Internet. Text Mining techniques were used to extract relevant information and to identify some generic skills for the Peruvian statisticians. For purposes of this study, we analyzed 2,809 job postings published in the Blog "Estadísticos de Perú" [2], between 2009 and 2014. We have identified many requirements, knowledge and specific skills that companies and organizations were looking for. After that, job postings were segmented using Singular Value Decomposition (SVD) of the Terms and Documents Matrix. In addition, five segments were discovered, corresponding to specific competency profiles of statisticians, where each one has different types of knowledge and specific skills. Source

Tapiador F.J.,UCLM | Turk F.J.,Jet Propulsion Laboratory | Petersen W.,NASA | Hou A.Y.,NASA | And 8 more authors.
Atmospheric Research | Year: 2012

This paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science. © 2011. Source

This paper aims to study the operational consequences of the integration of a large number of plug-in electric vehicles in a renewable-dominated power system. The coordination between the power system operator and the charging process of plug-in electric vehicles under a smart-grid environment is modeled using several approaches. The operation of the power system is modeled by means of a network-constrained stochastic economic dispatch. This problem is formulated using a two-stage stochastic programming model in which the uncertainties associated with the charging process of plug-in electric vehicles and with the availability of the renewable sources are characterized as stochastic processes. Numerical results on a realistic case based on the Iberian Peninsula power system are provided and analyzed. © 2015 Elsevier Ltd. Source

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