Ka-Map: an interactive web-mapping application

ka-Map ("ka" as in ka-boom!) is an open source project that is aimed at providing a javascript API for developing highly interactive web-mapping interfaces using features available in modern web browsers. ka-Map currently has a number of interesting features. It sports the usual array of user interface elements such as: interactive, continuous panning without reloading the page; keyboard navigation options (zooming, panning); zooming to pre-set scales; interactive scalebar, legend and keymap support; optional layer control on client side; server side tile caching

Towards Direct Policy Search Reinforcement Learning for Robot Control

This paper proposes a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, when using RL, has been to apply value function based algorithms, the system here detailed is characterized by the use of direct policy search methods. Rather than approximating a value function, these methodologies approximate a policy using an independent function approximator with its own parameters, trying to maximize the future expected reward. The policy based algorithm presented in this paper is used for learning the internal state/action mapping of a behavior. In this preliminary work, we demonstrate its feasibility with simulated experiments using the underwater robot GARBI in a target reaching task

Online Robust 3D Mapping Using Structure from Motion Cues

This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential structure from motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene

Mapping sub-flows to p2mp LSPs

In previous work we proposed a multi-objective traffic engineering scheme (MHDB-S model) using different distribution trees to multicast several flows. In this paper, we propose a heuristic algorithm to create multiple point-to-multipoint (p2mp) LSPs based on the optimum sub-flow values obtained with our MHDB-S model. Moreover, a general problem for supporting multicasting in MPLS networks is the lack of labels. To reduce the number of labels used, a label space reduction algorithm solution is also considered

The mapping of the local contributions of Fermi and Coulomb correlation into intracule and extracule density distributions

The contributions of the correlated and uncorrelated components of the electron-pair density to atomic and molecular intracule I(r) and extracule E(R) densities and its Laplacian functions ∇2I(r) and ∇2E(R) are analyzed at the Hartree-Fock (HF) and configuration interaction (CI) levels of theory. The topologies of the uncorrelated components of these functions can be rationalized in terms of the corresponding one-electron densities. In contrast, by analyzing the correlated components of I(r) and E(R), namely, IC(r) and EC(R), the effect of electron Fermi and Coulomb correlation can be assessed at the HF and CI levels of theory. Moreover, the contribution of Coulomb correlation can be isolated by means of difference maps between IC(r) and EC(R) distributions calculated at the two levels of theory. As application examples, the He, Ne, and Ar atomic series, the C2-2, N2, O2+2 molecular series, and the C2H4 molecule have been investigated. For these atoms and molecules, it is found that Fermi correlation accounts for the main characteristics of IC(r) and EC(R), with Coulomb correlation increasing slightly the locality of these functions at the CI level of theory. Furthermore, IC(r), EC(R), and the associated Laplacian functions, reveal the short-ranged nature and high isotropy of Fermi and Coulomb correlation in atoms and molecules

Casos de aplicaciones empresariales de Web Mapping y SIG Libre

La incorporación Software Libre para Geomática (FOSS4G), para la explotación de Información Geoespacial en Sistemas de Información (SI) empresariales es una tendencia inexorable. Aunque estas tecnologías se están difundiendo con rapidez en entornos de empresas especializadas, Universidades, Administraciones Públicas y Centros Tecnológicos, todavía es algo incipiente en grandes empresas, especialmente en aquellas no directamente relacionadas con las tecnologías de los SIG. El objetivo de esta presentación será mostrar cómo se está consiguiendo introducir el software de SIG libre en el mundo empresarial, con tres casos de éxito. El primero es un desarrollo tradicional para una compañía tipo ‘utility’ donde el cliente define una funcionalidad y contrata su desarrollo. El segundo es un modelo de contratación de servicios. La tercera es una aplicación para la administración pública. En los tres casos, el uso de software libre ha permitido ofrecer soluciones exitosas para los requerimientos de los clientes (tanto funcionales como de rendimiento), y óptimas en coste

Efficient topology estimation for large scale optical mapping

Large scale image mosaicing methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that lowcost Remotely operated vehicles (ROVs) usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a down-looking camera, it usually follows a predetermined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source. This thesis presents a set of consistent methods aimed at creating large area image mosaics from optical data obtained during surveys with low-cost underwater vehicles. First, a global alignment method developed within a Feature-based image mosaicing (FIM) framework, where nonlinear minimisation is substituted by two linear steps, is discussed. Then, a simple four-point mosaic rectifying method is proposed to reduce distortions that might occur due to lens distortions, error accumulation and the difficulties of optical imaging in an underwater medium. The topology estimation problem is addressed by means of an augmented state and extended Kalman filter combined framework, aimed at minimising the total number of matching attempts and simultaneously obtaining the best possible trajectory. Potential image pairs are predicted by taking into account the uncertainty in the trajectory. The contribution of matching an image pair is investigated using information theory principles. Lastly, a different solution to the topology estimation problem is proposed in a bundle adjustment framework. Innovative aspects include the use of fast image similarity criterion combined with a Minimum spanning tree (MST) solution, to obtain a tentative topology. This topology is improved by attempting image matching with the pairs for which there is the most overlap evidence. Unlike previous approaches for large-area mosaicing, our framework is able to deal naturally with cases where time-consecutive images cannot be matched successfully, such as completely unordered sets. Finally, the efficiency of the proposed methods is discussed and a comparison made with other state-of-the-art approaches, using a series of challenging datasets in underwater scenarios

Análisis de la aplicabilidad de la técnica Value Stream Mapping en el rediseño de sistemas productivos

Los sistemas productivos de las empresas han de adaptarse a las exigencias de los mercados. El Value Stream Mapping (VSM) es una técnica desarrollada por la Producción Ajustada y orientada al rediseño de dichos sistemas productivos. Si bien existe divulgación teórica sobre la técnica así como publicaciones de casos prácticos exitosos, se detecta la carencia de un análisis que explore en profundidad la aplicabilidad de la técnica en entornos productivos relacionados con las lineas de flujo desconectadas. Así, el objetivo de la tesis es la evaluación de la aplicabilidad del VSM en dichos entornos. El método de investigación adoptado ha consistido en un estudio de casos múltiple sobre seis empresas. Los resultados confirman la validez práctica del VSM para el rediseño de sistemas productivos. No obstante, también se fijan aspectos de mejora y desarrollo para que la técnica pueda convertirse en la referencia base.

La transformació del paisatge litoral de la Costa Brava: Anàlisi de l'evolució (1956-2003), diagnosi de l'estat actual i prognosi de futur

En la tesi es presenta una anàlisi de l'evolució dels canvis succeïts en el paisatge costaner de la Costa Brava (22 municipis litorals) en els darrers cinquanta anys (1956-2003); un estudi de la seva estructura ecopaisatgística, actual i passada, amb una especial èmfasi en la diagnosi de les conseqüències geoambientals de l'esclat urbanístic iniciat a la dècada de 1960, i s'ha determinat quina ha estat la tendència de canvi en els darrers vint-i-cinc anys la qual s'ha utilitzat per a elaborar models explicatius de la dinàmica territorial seguida i projectar-los cap al futur tot dissenyant escenaris probables. A les Bases teòriques s'exposa en quina parcel·la del coneixement científic es situa aquesta recerca i es repassa l'evolució dels diferents corrents i enfocaments que han precedit, dins la Ciència Geogràfica, els estudis sobre transformació del paisatge. Es posa especial en els principis i metodologies que plantegen les dues escoles d'anàlisi del paisatge en que es basa aquesta tesi: la Landscape Ecology i la estructurada a l'entorn del programa internacional Land Use and Land Cover Change (LUCC). S'ha dissenyat una pauta metodològica per a l'anàlisi paisatgística d'un territori a diferents escales: des de l'àmbit regional de tota la Costa Brava (66.230 ha), on es poden detectar les tendències generals, fins l'estudi detallat a escala local, on s'ha pres com a àrea d'estudi tres municipis del centre de la Costa Brava (6.960 Ha): Palamós, Calonge i Castell-Platja d'Aro. Els principals resultats obtinguts són els següents: Una cartografia d'usos i cobertes del sòl de tres períodes temporals i la conseqüent interpretació espacial per a cada etapa: 1957 (situació preturística), 1980 (inici de les actuacions dels ajuntaments democràtics) i 2003 (actualitat). Una anàlisi quantitativa de la transformació del paisatge i de les relacions espacials associades al canvi, a partir de la cartografia d'usos i cobertes del sòl dels tres períodes mapificats (1956, 1980, 2003). Amb l'objectiu d'arribar a definir quina ha estat la dinàmica dels canvis ocorreguts al llarg dels darrers gairebé cinquanta anys. Una anàlisi de l'estructura del mosaic paisatgístic de cadascun dels talls temporals per mitjà de l'aplicació dels principals índexs de l'Ecologia del Paisatge. S'ha analitzat la geometria de la conversió dels usos del sòl i s'han posat de manifest les repercussions ecològiques i paisatgístiques d'aquests canvis. Per una banda, a partir del càlcul i interpretació dels índexos esmentats s'ha analitzat l'evolució de la morfologia i la distribució territorial dels quatre principals usos i cobertes del sòl de la Costa Brava. Per l'altra, per a la Costa Brava centre s'ha analitzat l'estat dels dos sistemes naturals del litoral amb més pressió antròpica: la franja estrictament costanera i les masses forestals. Respecte als tres municipis de la Costa Brava centre s'han tingut en compte en l'anàlisi de l'evolució del paisatge a escala local, les actuacions desenvolupades en l'àmbit urbanístic municipal i les seves conseqüències paisatgístiques i ambientals. A partir de la informació ja processada, s'han detectat les tendències de canvi a partir de models de canvi d'usos i cobertes del sòl. S'han incorporat també els factors biofísics i antròpics, socials i econòmics, condicionants i responsables d'una determinada utilització del territori en cadascun dels tres períodes. Mitjançant l'anàlisi multivariable s'ha intentat descobrir el conjunt de factors que influencien en la taxa i el patró espacial de canvi d'usos i les seves conseqüències territorials. Finalment s'ha aplicat un model de simulació, basat en els automatismes cel·lulars de Markov, per tal de projectar les tendències de canvi i plantejar escenaris futurs, una eina bàsica per a la planificació futura del territori i per al control de les problemàtiques ambientals. Aquestes mesures serveixen per a definir, per a la Costa Brava centre, un patró espacial dels canvis d'usos del sòl a nivell local, i, per al conjunt de la Costa Brava, per a predir, mitjançant models de simulació quantitativa, els possibles desenvolupaments i per estimar els impactes.

A proposal to estimate the motion of an underwater vehicle through visual mosaicking

This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.