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Vision Based Control of Autonomous UAVGottleben, Emil January 2016 (has links)
This master thesis investigates the problem of making an unmanned aerial vehicle(uav) follow a person or a group of persons while keeping a fixed distance tothe chosen target. The purpose of this thesis is to give a proof of concept prototypeof how such a system would work to achieve that task. The main problemconsists of controlling the uav based on visual input from a camera. With thehelp of a visual object detection and tracking system, the image coordinates ofthe targets can be found. An algorithm was developed to calculate the target’sworld position based on its image coordinates and the world position and orientationof the uav. A control system was implemented that uses that uses thepositional information to set the velocity of the uav, if its position needs to bechanged. Several strategies for handling groups of targets were investigated. Inaddition a simulator was developed that can be used to simulate the image coordinatesof a target when the world position of the target is known. The systemwas tested during live flights, using a high precision motion capture system forreference. The results were mainly positive in showing proof of concept and evenshowing a relatively high level of precision.
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Acoustic Telemetry for UUVs using Walsh/m-sequence WaveformsIltis, Ronald A. 10 1900 (has links)
ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada / Underwater acoustic (UWA) telemetry requires wideband waveforms for anti-multipath which are simultaneously easy to equalize and demodulate. The Walsh/m-sequence waveforms proposed here are robust to multipath and with appropriate time-guard bands do not require equalization. For example, in the UCSB prototype acoustic modem, a data rate of 133 bps is achieved using 8-ary Walsh signaling with an 11.2 msec. symbol duration. Demodulation is performed using noncoherent detection, and hence accurate phase tracking, which is difficult to achieve in the UWA channel, is not required. However, telemetry from unmanned underwater vehicles (UUVs) is more problematic due to large Doppler shifts resulting from platform motion. A new receiver algorithm based on Matching Pursuits is proposed which combines channel and Doppler shift estimation. Symbol-error rate (SER) simulation results are presented for the UWA modem under realistic Doppler/multipath conditions.
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Estimation of Steering Wheel Angle in Heavy-Duty TrucksFejes, Peter January 2016 (has links)
The project presented in this report is a master's thesis performed at Scania CV. The main purpose is to develop an algorithm that estimates the offset of the values that the steering wheel angle sensor reports in a truck or tractor, and also to investigate the possibility to estimate the steering wheel angle in real-time. The developed algorithm successfully estimates the offset to an accuracy on the order of degrees, and the uncertainty of the estimate is ultimately determined by the backlash in the steering system, which may range up to approximately 15 degrees or more depending on service standards. The investigation also shows that two general approaches to estimate the steering wheel angle in real-time can produce unbiased estimates only when the vehicle is cornering at low speeds.
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Statistical inference for capture-recapture studies in continuoustimeWang, Yan, 王艷 January 2001 (has links)
published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
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On bandwidth and scale selection in processing of time-varying signalswith applicationsZhang, Zhiguo, 張治國 January 2007 (has links)
published_or_final_version / abstract / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentificationLau, Wing-yi., 劉穎兒. January 2006 (has links)
published_or_final_version / abstract / Electrical and Electronic Engineering / Master / Master of Philosophy
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Local polynomial estimation of the counting process intensity functionand its derivativesChen, Feng, 陳鋒 January 2008 (has links)
published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
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Semiparametric estimation in hazards models with censoring indicators missing at randomLiu, Chunling, 劉春玲 January 2008 (has links)
published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
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Design and application of state observers for exothermic fed-batch reactors with uncertain kinetics and heat transferSauvage, Frédéric 12 December 2007 (has links)
Monitoring the limiting reactant concentration is a key question to maximize
the productivity and to guarantee the safety of exothermic fed-batch
processes. However in most applications, the concentration cannot be
measured in real-time since suitable devices do not exist or are too
expensive; the concentrations are then measured by off-line analyses. In
this context monitoring the concentrations via software sensors, or state
observer based estimators, is an attractive option.
The presence of model uncertainties is a major limitation when applying
state observers to real processes. More precisely, in fed-batch exothermic
reactors the bad knowledge of both the reaction kinetics and the heat
transfer may prevent the use of classical observers.
In this study, we propose two different approaches to estimate the
concentration of the limiting reactant in a class of single phase exothermic
fed-batch reactors with uncertain kinetics and heat transfer. The first
approach is based on a finite time converging observer that provides an
estimate for the reaction rate via the reactor energy balance equation. The
concentration is then computed from the reaction rate estimate via a
material balance equation. The main contribution of this approach is the use
of a finite time observer to limit the reconstruction error by guaranteeing
a small convergence time interval for the reaction rate estimate. The second
approach is based on an interval observer that provides two bounds for the
concentration by considering uncertainties related to both the heat transfer
and the reaction kinetics. The final estimate is then computed as the mean
of the bounds.
A systematic tuning procedure has been developed for each of both estimation
techniques. Both estimators have then been tested and validated with real
data coming from the production of different kinds of resins carried out in
10 tons reactors.
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Contribution à la statistique des diffusions. Estimation semiparamétrique et efficacité au second ordre.<br />Agrégation et réduction de dimension pour le modèle de régression.Dalalyan, Arnak 22 November 2007 (has links) (PDF)
Ce texte constitue une synthèse de mes travaux de recherche menés depuis 2000 en statistique mathématique. Ces travaux s'articulent autour de 4 thèmes: la statistique non paramétrique pour les processus de diffusion, efficacité au second ordre pour l'estimation semiparamétrique, agrégation par des poids exponentiels et réduction de dimension pour la régression non paramétrique. <br />Le premier chapitre contient une description générale des résultats obtenus en les replaçant dans un contexte historique et en présentant les motivations qui nous ont animées pour étudier ces problèmes. J'y décris également de façon informelle les idées clés des démonstrations. <br /><br />Au second chapitre, je présente les définitions principales nécessaires pour énoncer de façon rigoureuse les résultats les plus importants. Ce chapitre contient également une discussion plus formelle permettant de mettre en lumière certains aspects théoriques et pratiques de nos résultats.
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