887 resultados para Range (Vehicles).


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A new localization approach to increase the navigational capabilities and object manipulation of autonomous mobile robots, based on an encoded infrared sheet of light beacon system, which provides position errors smaller than 0.02m is presented in this paper. To achieve this minimal position error, a resolution enhancement technique has been developed by utilising an inbuilt odometric/optical flow sensor information. This system respects strong low cost constraints by using an innovative assembly for the digitally encoded infrared transmitter. For better guidance of mobile robot vehicles, an online traffic signalling capability is also incorporated. Other added features are its less computational complexity and online localization capability all these without any estimation uncertainty. The constructional details, experimental results and computational methodologies of the system are also described

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Krypton atoms were excited by photons in the energy range from the threshold for photoionization of the 3d-electrons up to 120 eV. and the fluorescence radiation in the spectral range from 780 to 965 A was observed and analyzed. Cross sections for the population of excited states in KrIII with at least one 4s-hole resulting from an Auger transition as the first decay step and for KrII satellites were determined. The energy dependence of the 3d-ionization cross section in the 3d{_5/2}- and the 3d{_3/2}-threshold range was derived from the experimental data. The cross sections for production of KrII states were found to follow the energy dependence of the 3d-cross sections.

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Optische Spektrometer sind bekannte Instrumente für viele Anwendungen in Life Sciences, Produktion und Technik aufgrund ihrer guten Selektivität und Sensitivität zusammen mit ihren berührungslosen Messverfahren. MEMS (engl. Micro-electro-mechanical system)-basierten Spektrometer werden als disruptive Technologie betrachtet, in der miniaturisierte Fabry-Pérot Filter als sehr attraktiv für die optische Kommunikation und 'Smart Personal Environments', einschließlich des medizinischen Anwendungen, zu nennen sind. Das Ziel dieser Arbeit ist, durchstimmbare Filter-Arrays mit kostengünstigen Technologien herzustellen. Materialien und technologische Prozesse, die für die Herstellung der Filter-Arrays benötigt werden, wurden untersucht. Im Rahmen dieser Arbeit, wurden durchstimmbare Fabry Pérot Filter-Arrays für den sichtbaren Spektralbereich untersucht, die als Nano-Spektrometer eingesetzt werden. Darüber hinaus wurde ein Modell der numerischen Simulation vorgestellt, die zur Ermittlung eines optimales geometrisches Designs verwendet wurde, wobei sich das Hauptaugenmerk der Untersuchung auf die Durchbiegung der Filtermembranen aufgrund der mechanischen Verspannung der Schichten richtet. Die geometrische Form und Größe der Filtermembranen zusammen mit der Verbindungsbrücken sind von entscheidender Bedeutung, da sie die Durchbiegung beeinflussen. Lange und schmale Verbindungsbrücken führen zur stärkeren Durchbiegung der Filtermembranen. Dieser Effekt wurde auch bei der Vergrößerung der Durchmesser der Membran beobachtet. Die Filter mit spiralige (engl. curl-bent) Verbindungsbrücken führten zu geringerer Deformation als die mit geraden oder gebogenen Verbindungsbrücken. Durchstimmbare Si3N4/SiO2 DBR-basierende Filter-Arrays wurden erfolgreich hergestellt. Eine Untersuchung über die UV-NIL Polymere, die als Opferschicht und Haltepfosten-Material der Filter verwendet wurden, wurde durchgeführt. Die Polymere sind kompatibel zu dem PECVD-Verfahren, das für die Spiegel-Herstellung verwendet wird. Die laterale Strukturierung der DBR-Spiegel mittels des RIE (engl. Reactive Ion Etching)-Prozesses sowie der Unterätz-Prozess im Sauerstoffplasma zur Entfernung der Opferschicht und zum Erreichen der Luftspalt-Kavität, wurden durchgeführt. Durchstimmbare Filter-Arrays zeigten einen Abstimmbereich von 70 nm bei angelegten Spannungen von weniger als 20 V. Optimierungen bei der Strukturierung von TiO2/SiO2 DBR-basierenden Filtern konnte erzielt werden. Mit der CCP (engl. Capacitively Coupling Plasma)-RIE, wurde eine Ätzrate von 20 nm/min erreicht, wobei Fotolack als Ätzmaske diente. Mit der ICP (engl. Inductively Coupling Plasma)-RIE, wurden die Ätzrate von mehr als 60 nm/min mit einem Verhältniss der Ar/SF6 Gasflüssen von 10/10 sccm und Fotolack als Ätzmasken erzielt. Eine Ätzrate von 80 bis 90 nm/min wurde erreicht, hier diente ITO als Ätzmaske. Ausgezeichnete geätzte Profile wurden durch den Ätzprozess unter Verwendung von 500 W ICP/300 W RF-Leistung und Ar/SF6 Gasflüsse von 20/10 sccm erreicht. Die Ergebnisse dieser Arbeit ermöglichen die Realisierung eines breiten Spektralbereichs der Filter-Arrays im Nano-Spektrometer.

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Tunable Optical Sensor Arrays (TOSA) based on Fabry-Pérot (FP) filters, for high quality spectroscopic applications in the visible and near infrared spectral range are investigated within this work. The optical performance of the FP filters is improved by using ion beam sputtered niobium pentoxide (Nb2O5) and silicon dioxide (SiO2) Distributed Bragg Reflectors (DBRs) as mirrors. Due to their high refractive index contrast, only a few alternating pairs of Nb2O5 and SiO2 films can achieve DBRs with high reflectivity in a wide spectral range, while ion beam sputter deposition (IBSD) is utilized due to its ability to produce films with high optical purity. However, IBSD films are highly stressed; resulting in stress induced mirror curvature and suspension bending in the free standing filter suspensions of the MEMS (Micro-Electro-Mechanical Systems) FP filters. Stress induced mirror curvature results in filter transmission line degradation, while suspension bending results in high required filter tuning voltages. Moreover, stress induced suspension bending results in higher order mode filter operation which in turn degrades the optical resolution of the filter. Therefore, the deposition process is optimized to achieve both near zero absorption and low residual stress. High energy ion bombardment during film deposition is utilized to reduce the film density, and hence the film compressive stress. Utilizing this technique, the compressive stress of Nb2O5 is reduced by ~43%, while that for SiO2 is reduced by ~40%. Filters fabricated with stress reduced films show curvatures as low as 100 nm for 70 μm mirrors. To reduce the stress induced bending in the free standing filter suspensions, a stress optimized multi-layer suspension design is presented; with a tensile stressed metal sandwiched between two compressively stressed films. The stress in Physical Vapor Deposited (PVD) metals is therefore characterized for use as filter top-electrode and stress compensating layer. Surface micromachining is used to fabricate tunable FP filters in the visible spectral range using the above mentioned design. The upward bending of the suspensions is reduced from several micrometers to less than 100 nm and 250 nm for two different suspension layer combinations. Mechanical tuning of up to 188 nm is obtained by applying 40 V of actuation voltage. Alternatively, a filter line with transmission of 65.5%, Full Width at Half Maximum (FWHM) of 10.5 nm and a stopband of 170 nm (at an output wavelength of 594 nm) is achieved. Numerical model simulations are also performed to study the validity of the stress optimized suspension design for the near infrared spectral range, wherein membrane displacement and suspension deformation due to material residual stress is studied. Two bandpass filter designs based on quarter-wave and non-quarter-wave layers are presented as integral components of the TOSA. With a filter passband of 135 nm and a broad stopband of over 650 nm, high average filter transmission of 88% is achieved inside the passband, while maximum filter transmission of less than 1.6% outside the passband is achieved.

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Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we propose a new analytic framework for understanding integration within cortical neuronal receptive fields. Based on the synaptic organization of cortex, we argue that neuronal integration is a systems--level process better studied in terms of local cortical circuitry than at the level of single neurons, and we present a method for constructing self-contained modules which capture (nonlinear) local circuit interactions. In this framework, receptive field elements naturally have dual (rather than the traditional unitary influence since they drive both excitatory and inhibitory cortical neurons. This vector-based analysis, in contrast to scalarsapproaches, greatly simplifies integration by permitting linear summation of inputs from both "classical" and "extraclassical" receptive field regions. We illustrate this by explaining two complex visual cortical phenomena, which are incompatible with scalar notions of neuronal integration.

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Estudi de l’eficiència aerodinàmica de les carrosseries de vehicles pesants de cara a reduir el consum de combustible en autocars de llarg trajecte. L’estudi es basa en tres aspectes: validació del programa de simulació, estudi aerodinàmic de diferents carrosseries d’autocar de mercat i estudi aerodinàmic de diferents complements

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L’objecte d’aquest estudi consisteix en determinar la influència de l’ús del biodièsel en: 1.- Les variacions en comparació amb el combustible convencional (gasoil A) en les emissions de gasos i partícules contaminants en motors de vehicles pesants de transport de mercaderies. 2.- Les variacions en comparació amb el combustible convencional (gasoil A) en el nivell de so emès per motors de vehicles pesants de transport de mercaderies. 3.- Els canvis en el consum de combustible en vehicles pesants en comparació amb la utilització de gasoil A. 4.- Els problemes tècnics observats en motors de vehicles pesants de transport de mercaderies durant un període de funcionament elevat

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Investigacions recents revelen com l’acció del vent lateral és un efecte molt important en bona part dels accidents ocorreguts en vehicles pesants de transport per carretera. És per això que el perfil aerodinàmic del vehicle esdevé determinant en l’avaluació de les forces laterals que hi actuen. El present projecte té per objecte determinar les forces laterals que s’exerceixen en vehicles pesants de transport de passatgers degut a l’acció del vent i investigar-ne la seva perillositat. Per fer-ho s’utilitzen models numèrics de dinàmica de fluids i, per diferents velocitats del vehicle, es simulen vents amb diferent intensitat i direcció. D’aquí es determinen unes condicions de perillositat en funció, entre d’altres variables, de l’angle d’incidència del vent i de la seva velocitat

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L’objectiu d’aquest projecte fi de carrera és en primer lloc, determinar les modificacions a realitzar en el laboratori de lubricants i combustibles de l’EPS per a la utilització de l’espectrofotòmetre d’absorció atòmica de flama; en segon lloc, posar a punt l’aparell establint els paràmetres i les condicions d’assaig idònies per a portar a terme les anàlisis de metalls de desgast presents en olis lubricants usats de motors de combustió interna. I finalment, establir un protocol de treball al laboratori i estudiar la viabilitat d’oferir el servei d’anàlisi de lubricants a empreses i particulars

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This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs

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This paper proposes MSISpIC, a probabilistic sonar scan matching algorithm for the localization of an autonomous underwater vehicle (AUV). The technique uses range scans gathered with a Mechanical Scanning Imaging Sonar (MSIS), the robot displacement estimated through dead-reckoning using a Doppler velocity log (DVL) and a motion reference unit (MRU). The proposed method is an extension of the pIC algorithm. An extended Kalman filter (EKF) is used to estimate the robot-path during the scan in order to reference all the range and bearing measurements as well as their uncertainty to a scan fixed frame before registering. The major contribution consists of experimentally proving that probabilistic sonar scan matching techniques have the potential to improve the DVL-based navigation. The algorithm has been tested on an AUV guided along a 600 m path within an abandoned marina underwater environment with satisfactory results

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This paper proposes a pose-based algorithm to solve the full SLAM problem for an autonomous underwater vehicle (AUV), navigating in an unknown and possibly unstructured environment. The technique incorporate probabilistic scan matching with range scans gathered from a mechanical scanning imaging sonar (MSIS) and the robot dead-reckoning displacements estimated from a Doppler velocity log (DVL) and a motion reference unit (MRU). The proposed method utilizes two extended Kalman filters (EKF). The first, estimates the local path travelled by the robot while grabbing the scan as well as its uncertainty and provides position estimates for correcting the distortions that the vehicle motion produces in the acoustic images. The second is an augment state EKF that estimates and keeps the registered scans poses. The raw data from the sensors are processed and fused in-line. No priory structural information or initial pose are considered. The algorithm has been tested on an AUV guided along a 600 m path within a marina environment, showing the viability of the proposed approach

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Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

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The registration of full 3-D models is an important task in computer vision. Range finders only reconstruct a partial view of the object. Many authors have proposed several techniques to register 3D surfaces from multiple views in which there are basically two aspects to consider. First, poor registration in which some sort of correspondences are established. Second, accurate registration in order to obtain a better solution. A survey of the most common techniques is presented and includes experimental results of some of them

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This paper presents the design and implementation of a mission control system (MCS) for an autonomous underwater vehicle (AUV) based on Petri nets. In the proposed approach the Petri nets are used to specify as well as to execute the desired autonomous vehicle mission. The mission is easily described using an imperative programming language called mission control language (MCL) that formally describes the mission execution thread. A mission control language compiler (MCL-C) able to automatically translate the MCL into a Petri net is described and a real-time Petri net player that allows to execute the resulting Petri net onboard an AUV are also presented