918 resultados para Tracklaying vehicles


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Mostrar que la incorporación de aprendizajes que tengan que ver con el conocimiento y uso de la prensa diaria en los currículums de enseñanza formal no universitaria, optimiza diferentes elementos del sistema educativo y da respuesta a objetivos básicos de la educación del alumno.. La prensa como facilitadora de la comprensión y la comunicación entre profesor-alumno, y en el ámbito general del currículum escolar.. Realiza un análisis teórico sobre el tema del currículum y la prensa. Presenta el modelo teórico con la descripción de cada fase que se desarrolla. Lleva a cabo un vaciado de información en revistas infantiles y juveniles catalanas y de diarios. Propone la adaptación del modelo a otras realidades culturales. Comenta las conclusiones y marca las pautas para continuar este trabajo del modelo propuesto.El resultado positivo y la experiencia durante ocho años del proyecto 'L'Avui Eina Didàctica a l'Escola' lleva a cabo antes de la investigación, es la base del desarrollo de esta investigación.. Revistas y diarios.. La prensa debe ser un elemento de refuerzo para conseguir éxito en los en los estudios y formación del alumnado. Es un elemento optimizador y retroalimentador dels diseño, la planificación y la implementación de objetivos y contenidos del currículum. También es un soporte en la adquisición de competencias intelectuales y afectivas..

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Materiales curriculares sobre vehículos autopropulsados para profesorado de FP. Se desarrollan los capítulos siguientes: 1. Carrocería, 2. Electromecánica de vehículos y 3. Automoción. Para cada contenido se ofrece un volumen con el currículum especificado y otro volumen con orientaciones para su desarrollo. En total consta de 6 volúmenes reunidos en una misma carpeta.

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Simultaneous Localization and Mapping (SLAM) do not result in consistent maps of large areas because of gradual increase of the uncertainty for long term missions. In addition, as the size of the map grows the computational cost increases, making SLAM solutions unsuitable for on-line applications. This thesis surveys SLAM approaches paying special attention to those approaches aimed to work on large scenarios. Special focus is given to existing underwater SLAM applications. A technique based on using independent local maps together with a global stochastic map is presented. This technique is called Selective Submap Joining SLAM (SSJS). A global map contains relative transformations between local maps, which are updated once a new loop is detected. Maps sharing several features are fused, maintaining the correlation between landmarks and vehicle's pose. The use of local maps reduces computational costs and improves map consistency as compared to state of the art techniques.

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L’objectiu d’aquest projecte és dotar a Servicleop d’un programari que li permeti millorar la gestió dels serveis de retirada de vehicles de la via pública, que actualment s’efectua a través del canal de veu. Això s’aconseguirà mitjançant l’ús de cartografia digital i localització GPS, que permetrà optimitzar l’assignació de retirades al saber quina grua es troba en millor disposició, i PDAs que es comunicaran amb un centre de control a través de GPRS des del qual s’assignaran aquest serveis. S’oferiran facilitats sempre que sigui possible en la introducció de dades, disminuint les probabilitats de cometre errors, i tot el procés quedarà enregistrat automàticament en base de dades per a poder generar estadístiques o informes. el projecte parteix d’un altre projecte intern de Knosos anomenat Micronav.Net Serveis, en el qual també he treballat molt activament i que ofereix una solució genèrica similar a la requerida per Servicleop, empresa a la que va destinada el sistema que es presenta en aquest projecte final de carrera

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This workshop paper reports recent developments to a vision system for traffic interpretation which relies extensively on the use of geometrical and scene context. Firstly, a new approach to pose refinement is reported, based on forces derived from prominent image derivatives found close to an initial hypothesis. Secondly, a parameterised vehicle model is reported, able to represent different vehicle classes. This general vehicle model has been fitted to sample data, and subjected to a Principal Component Analysis to create a deformable model of common car types having 6 parameters. We show that the new pose recovery technique is also able to operate on the PCA model, to allow the structure of an initial vehicle hypothesis to be adapted to fit the prevailing context. We report initial experiments with the model, which demonstrate significant improvements to pose recovery.

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This paper tackles the path planning problem for oriented vehicles travelling in the non-Euclidean 3-Dimensional space; spherical space S3. For such problem, the orientation of the vehicle is naturally represented by orthonormal frame bundle; the rotation group SO(4). Orthonormal frame bundles of space forms coincide with their isometry groups and therefore the focus shifts to control systems defined on Lie groups. The oriented vehicles, in this case, are constrained to travel at constant speed in a forward direction and their angular velocities directly controlled. In this paper we identify controls that induce steady motions of these oriented vehicles and yield closed form parametric expressions for these motions. The paths these vehicles trace are defined explicitly in terms of the controls and therefore invariant with respect to the coordinate system used to describe the motion.

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Sirens used by police, fire and paramedic vehicles have been designed so that they can be heard over large distances, but unfortunately the siren noise enters the vehicle and corrupts intelligibility of voice communications from the emergency vehicle to the control room. Often the siren needs to be turned off to enable the control room to hear what is being said. This paper discusses a siren noise filter system that is capable of removing the siren noise picked up by the two-way radio microphone inside the vehicle. The removal of the siren noise improves the response time for emergency vehicles and thus save lives. To date, the system has been trialed within a fire tender in a non-emergency situation, with good results.

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The development of an adaptive filter system, capable of reducing significantly the effect of siren noise within the cab of an emergency vehicle, is described. The system is capable of removing the siren noise picked up by the radio microphone inside the vehicle, without degrading the wanted voice signal, thus allowing the siren to be used at all times.

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An overview is given of a vision system for locating, recognising and tracking multiple vehicles, using an image sequence taken by a single camera mounted on a moving vehicle. The camera motion is estimated by matching features on the ground plane from one image to the next. Vehicle detection and hypothesis generation are performed using template correlation and a 3D wire frame model of the vehicle is fitted to the image. Once detected and identified, vehicles are tracked using dynamic filtering. A separate batch mode filter obtains the 3D trajectories of nearby vehicles over an extended time. Results are shown for a motorway image sequence.

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This paper presents recent developments to a vision-based traffic surveillance system which relies extensively on the use of geometrical and scene context. Firstly, a highly parametrised 3-D model is reported, able to adopt the shape of a wide variety of different classes of vehicle (e.g. cars, vans, buses etc.), and its subsequent specialisation to a generic car class which accounts for commonly encountered types of car (including saloon, batchback and estate cars). Sample data collected from video images, by means of an interactive tool, have been subjected to principal component analysis (PCA) to define a deformable model having 6 degrees of freedom. Secondly, a new pose refinement technique using “active” models is described, able to recover both the pose of a rigid object, and the structure of a deformable model; an assessment of its performance is examined in comparison with previously reported “passive” model-based techniques in the context of traffic surveillance. The new method is more stable, and requires fewer iterations, especially when the number of free parameters increases, but shows somewhat poorer convergence. Typical applications for this work include robot surveillance and navigation tasks.

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An overview is given of a novel vision system for locating, recognising and tracking multiple vehicles.

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The UK private indirect real estate market has seen a rapid growth in the last seven years. The gross asset value (GAV) of the private property vehicle (PPV) market has about tripled from a GAV of £22.6bn in 1998 to a GAV of £67.1 billion at the end of 2005 (OPC, 2006). Although this trend of growing syndication of real estate is not only a UK phenomenon, the rate of growth has been significantly faster in the UK. For example the German open-ended funds have grown over the same period from €50.4bn to €85.1bn (BVI, 2006). In the US the market capitalization of equity real estate investment trusts (REIT) has grown 155% since 1999 to US$ 301bn (NAREIT, 2006). Each jurisdiction is offering different formats to invest indirectly into real estate but at the core all these vehicles are the same in that they provide a different route for investors to access real estate. In the UK, although the range of ‘products’ is now quite diverse, all structures have in common the ‘wrapping’ of property assets into a multi-investor vehicle. This paper examines the nature, pattern and process of market growth in PPVs and constructs a series of associations between causes and effects to explain this market shift.