Searched for: subject:"Kalman%5C+Filter"
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Solanki, Prashant (author)
Quadcopters are becoming increasingly popular across diverse sectors such as mapping, photography, or surveillance. Since rotor damages occur frequently, it is essential to improve the attitude estimation and thus ultimately the ability to control a damaged quadcopter. The Control and Simulation group of TU Delft developed a quadcopter...
master thesis 2020
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Lucassen, M.J. (author)
Least-squares support-vector-machines are a frequently used supervised learning method for nonlinear regression and classification. The method can be implemented by solving either its primal problem or dual problem. In the dual problem a linear system needs to be solved, yet for large-scale problems this can be impractical as current methods...
master thesis 2020
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van der Voort, J.C. (author)
The goal of this thesis is to estimate parameters in a bidimensional Ornstein-Uhlenbeck process, namely a diffusion model which can be found in Favetto and Samson (2010), which considers plasma and interstitium concentrations. We first look at a general linear stochastic differential equation and some properties. Then we simulate possible paths...
bachelor thesis 2020
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de Rooij, S.J.S. (author)
In streaming video completion one aims to fill in missing pixels in streaming video data. This is a problem that naturally arises in the context of surveillance videos. Since these are streaming videos, they must be completed online and in real-time. This makes the streaming video completion problem significantly more difficult than the related...
master thesis 2020
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Chaves Jimenez, A. (author)
Spacecraft orbit and attitude dynamics have been classically seen as two separated<br/>subjects, since the effect of attitude in orbit dynamics was deemed too small to be<br/>considered, or simply, modeled as noise in the estimation process for most satellites.<br/>In the eighties, a study by [1] showed that for a very large spacecraft,...
doctoral thesis 2020
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Vertregt, Casper (author)
This research applied a Dual Extended Kalman Filter (DEKF) to time-varying human operator (HO) parameter estimation in preview tracking tasks. The preview time parameter was of particular interest, as the amount of preview can be highly variable in practical situations. The filter was centered around a linear cybernetic HO model with six...
master thesis 2020
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Colaço Baptista Cerqueira, Paulo (author)
The visualization of objects within or beyond a turbulent medium is hampered by the aberrations the medium induces in the wavefront. The sharpness of an image is maximal when the incoming wavefront is flat, with aberrated wavefronts yielding distorted images of limited utility. In the particular case of astronomy, the flat wavefront of the light...
master thesis 2020
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Aycart Avila, Vicente (author)
Accurately tracking the trajectory of launching vehicles during the boost phase is crucial for a variety of reasons. First, an accurate burnout point location and  velocity of the launch vehicle will facilitate the estimation of its trajectory during the following phases of ballistic flight and the impact location. This has important...
master thesis 2020
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Bartczak, Konrad (author)
Displacement control is of utmost importance in deep excavation design and is usually based on numerical modelling, e.g. Finite Element Method (FEM). Numerical methods tend to be more conservative when analysing soil behaviour during deep excavation, whereas for practical and economic reasons this is not favoured. The inverse analysis allows for...
master thesis 2020
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Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
The radar resource management problem in a multitarget tracking scenario for multi-function radar is considered. To solve it, an optimal balancing of the sensor budget by applying Lagrangian relaxation and the subgradient method is proposed. In a time-invariant scenario it is shown that the proposed method will lead to balanced budgets based on...
conference paper 2020
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Liu, Jing (author), Zheng, Fangfang (author), van Zuylen, H.J. (author), Li, Jie (author)
OD flows provide important information for traffic management and planning. The prediction of dynamic OD matrices gives the possibility to apply anticipatory traffic management measures. In this paper, we propose an OD prediction approach based on the data obtained by Automated Number Plate Recognition (ANPR) cameras. The principal component...
journal article 2020
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Isufi, E. (author), Banelli, Paolo (author), Di Lorenzo, Paolo (author), Leus, G.J.T. (author)
A critical challenge in graph signal processing is the sampling of bandlimited graph signals; signals that are sparse in a well-defined graph Fourier domain. Current works focused on sampling time-invariant graph signals and ignored their temporal evolution. However, time can bring new insights on sampling since sensor, biological, and...
journal article 2020
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Abdul Rozak Rivai Fassah, Abdul (author)
In recent years, developments in the field of aerospace materials and structures has been bringing major breakthroughs in the construction of air vehicles to be more lightweight yet with higher strength. However, the aircraft body can deform more appreciably due to the occurrence of flow separation and flutter. Therefore, active control is...
master thesis 2019
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Audenaert, Lisa (author)
Automotive radar has an advantage over other sensors in that it is better at operating in bad weather conditions. To see the extent of the effect that adverse weather conditions might have on the statistics of the data a statistical analysis was performed on real measurement data. During heavy rain there is a shift that can be observed in the...
master thesis 2019
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Meng, Fancong (author)
Global Navigation Satellite System (GNSS) has been developed in recent several decades, which provides a new technique for timing, positioning and navigation. And GNSS positioning is a basic service to us, both in daily life and scientific research. During high-precise positioning, ambiguity resolution is a key factor that has a huge influence...
student report 2019
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Schöpping, Pascal (author)
In a world with growing energy consumption, and concerns over climate quality, new ways of producing and storing clean energy is more relevant than ever. Storing ‘green’ gas (e.g. methane) is a new concept building on well-established fundamentals. Using renewable energy, through electrochemical processes (i.e. electrolysis), hydrogen is first...
master thesis 2019
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Nagesh, Saravanan (author)
In this thesis, we propose, a Robust data extraction algorithm capable of extracting reliable target features of multiple moving targets of different classes over all channels of an S-Band Doppler Polarimetric Radar PARSAX. The proposed algorithm is capable of generating a time series data by tracking, clusters of detections - representing...
master thesis 2019
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Fonod, R. (author), Shima, Tal (author)
A novel wingman-based estimation and guidance concept is proposed for a sensorless pursuer. The pursuer is guided towards a maneuvering aerial target using proportional navigation (PN) guidance law. The wingman is assumed to acquire bearings-only measurements of the target and to accurately track the wingman-pursuer relative position. The...
journal article 2019
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Gedon, Daniel (author)
For large-scale system with tens of thousands of states and outputs the computation in the conventional Kalman filter becomes time-consuming such that Kalman filtering in large-scale real-time application is practically infeasible. A possible mathematical framework to lift the curse of dimensionality is to lift the problem in higher dimensions...
master thesis 2019
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Geelen, Thom (author)
In many engineering fields it is beneficial to obtain information about the force acting on a dynamical system. As measurement of this force is often difficult or impossible a technique that identifies this force in an alternative manner is desired. A wide variety of methods is available in literature. Obtaining this force in the frequency...
master thesis 2019
Searched for: subject:"Kalman%5C+Filter"
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