80 resultados para Drone
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Studio e ottimizzazione di un piccolo propulsore Diesel di piccola potenza common rail, sovralimentato per un drone.
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Progettazione di un motore Diesel 2 tempi sulla base commerciale di un TM100Kb a benzina di derivazione karting. Il motore è capace di 5kW di potenza ad un peso contenuto. La progettazione è orientata agli aspetti sia termodinamici che dinamici. Si effettua una serie di verifiche per capire l'efficienza e l'uso di componenti originali.
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This article presents the proposal of the Computer Vision Group to the first phase of the international competition “Concurso de Ingeniería de Control 2012, Control Aut ́onomo del seguimiento de trayectorias de un vehículo cuatrirrotor”. This phase consists mainly of two parts: identifying a model and designing a trajectory controller for the AR Drone quadrotor. For the identification task, two models are proposed: a simplified model that captures only the main dynamics of the quadrotor, and a second model based on the physical laws underlying the AR Drone behavior. The trajectory controller design is based on the simplified model, whereas the physical model is used to tune the controller to attain a certain level of robust stability to model uncertainties. The controller design is simplified by the hypothesis that accurate positions sensors will be available to implement a feedback controller.
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La presente comunicación tiene por objetivo analizar las posibilidades que el uso de la fotogrametría nos ofrece en el estudio y documentación del arte rupestre, en concreto los grabados.
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This paper expands on a theoretical model that is used for aerial robots that are working cooperatively to complete a task. In certain situations, such as when multiple robots have catastrophic failures, the surviving robots could become isolated so that they never again communicate with another robot. We prove some properties about isolated robots flying in a grid formation, and we present an algorithm that determines how many robots need to fail to isolate at least one robot. Finally, we propose a strategy that eliminates the possibility of isolation altogether.
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Mode of access: Internet.
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In questo elaborato viene sperimentato un iter processuale che consenta di utilizzare i sensori termici affiancati a fotocamere digitale in ambito fotogrammetrico al fine di ottenere prodotto dal quale sono estrapolabili informazioni geometriche e termiche dell’oggetto di studio. Il rilievo fotogrammetrico è stato svolto mediante l’utilizzo di un drone con equipaggiamento multisensoriale, termico e digitale, su una porzione di territorio soggetto ad anomalie termiche nei pressi di Medolla (MO). Per l’analisi termica e geometrica sono stati posizionati sul campo 5 target termici di cui ne sono state misurate le coordinate per la georeferenziazione delle nuvole dense di punti e la temperatura. In particolare sono state eseguite due riprese aeree dalle quali sono stati estratti i frame necessari per i processi di restituzione fotogrammetrica. Le immagini sono state sottoposte ad una fase di trattamento che ha prodotto immagini rettificate prive di delle distorsioni impresse dall’obbiettivo. Per la creazione degli elaborati vettoriali e raster a colori e termici sono stati impiegati inizialmente software di fotogrammetria digitale in grado di fornire scene tridimensionali georeferenziate dell’oggetto. Sono state sviluppate sia in un ambiente open-source, sia sfruttando programmi commerciali. Le nuvole dense sono state successivamente trattate su una piattaforma gratuita ad interfaccia grafica. In questo modo è stato possibile effettuare dei confronti tra i diversi prodotti e valutare le potenzialità dei software stessi. Viene mostrato come creare un modello tridimensionale, contenente sia informazioni geometriche che informazioni termiche, partendo dalla nuvola termica e da quella a colori. Entrambe georeferenziate utilizzando gli stessi punti fotogrammetrici d’appoggio. Infine i prodotti ottenuti sono stati analizzati in un ambiente GIS realizzando sovrapposizioni grafiche, confronti numerici, interpolazioni, sezioni e profili.
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This text presents and explicits the story of a marine drone: the Wave Glider, designed and developed by Liquid Robotics, an American company of the Silicon Valley. The text specifies its functioning, directly dependent on energies that are the swell and the sun and its technical characteristics authorizing a set of measures of in situ parameters (sea temperature, salinity, currents, marine acoustics, video but also meteorological data acquisitions). A set of scientific or operational applications is also introduced. A detail is supplied on the first experience led in New Caledonia: inaugural mission of the drone Wave Glider, property of the Company Assystem, for a route between Nouméa and Lifou and return. Several perspectives of use of such a tool in New Caledonia and in the Pacific are proposed.
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A nautical drone was designed for the monitoring of estuarine and coastal waters in the context of the Water Framework Directive (WFD) to : - go up to 500 m off the coastline in less than 5 minutes, - perform in situ measurements (temperature, salinity, turbidity), - collect water samples for later analysis in the laboratory (phytoplankton identification, chlorophyll, nutrients, ...).
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61 p.
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A software tool (DRONE) has been developed to evaluate road traffic noise in a large area with the consideration of network dynamic traffic flow and the buildings. For more precise estimation of noise in urban network where vehicles are mainly in stop and go running conditions, vehicle sound power level (for acceleration/deceleration cruising and ideal vehicle) is incorporated in DRONE. The calculation performance of DRONE is increased by evaluating the noise in two steps of first estimating the unit noise database and then integrating it with traffic simulation. Details of the process from traffic simulation to contour maps are discussed in the paper and the implementation of DRONE on Tsukuba city is presented
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A road traffic noise prediction model (ASJ MODEL-1998) has been integrated with a road traffic simulator (AVENUE) to produce the Dynamic areawide Road traffic NoisE simulator-DRONE. This traffic-noise-GIS based integrated tool is upgraded to predict noise levels in built-up areas. The integration of traffic simulation with a noise model provides dynamic access to traffic flow characteristics and hence automated and detailed predictions of traffic noise. The prediction is not only on the spatial scale but also on temporal scale. The linkage with GIS gives a visual representation to noise pollution in the form of dynamic areawide traffic noise contour maps. The application of DRONE on a real world built-up area is also presented.
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Rapid prototyping environments can speed up the research of visual control algorithms. We have designed and implemented a software framework for fast prototyping of visual control algorithms for Micro Aerial Vehicles (MAV). We have applied a combination of a proxy-based network communication architecture and a custom Application Programming Interface. This allows multiple experimental configurations, like drone swarms or distributed processing of a drone's video stream. Currently, the framework supports a low-cost MAV: the Parrot AR.Drone. Real tests have been performed on this platform and the results show comparatively low figures of the extra communication delay introduced by the framework, while adding new functionalities and flexibility to the selected drone. This implementation is open-source and can be downloaded from www.vision4uav.com/?q=VC4MAV-FW
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A software tool (DRONE) has been developed to evaluate road traffic noise in a large area with the consideration of network dynamic traffic flow and the buildings. For more precise estimation of noise in urban network where vehicles are mainly in stop and go running conditions, vehicle sound power level (for acceleration/deceleration cruising and ideal vehicle) is incorporated in DRONE. The calculation performance of DRONE is increased by evaluating the noise in two steps of first estimating the unit noise database and then integrating it with traffic simulation. Details of the process from traffic simulation to contour maps are discussed in the paper and the implementation of DRONE on Tsukuba city is presented.