Searched for: subject%3A%22estimation%22
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Timmer, Sebastiaan (author)
<div>As Neuroscience progresses, there is an increasing amount of research that endorses predictions and reducing of prediction errors as one of the main functions of the brain. active inference is a brain-inspired, mathematical framework that successfully implements this idea both in simulations as well as in robotics. The predictive nature of...
master thesis 2024
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te Marvelde, Pepijn (author)
In the realm of machine learning (ML), the need for efficiency in training processes is paramount. The conventional first step in an ML workflow involves collecting data from various sources and merging them into a single table, a process known as materialization, which can introduce inefficiencies caused by redundant data. Factorized ML strives...
master thesis 2024
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Iancu, Alexandru (author)
Given the expected increase of automation in the vehicles of the future, touchscreens are expected to be used in a wide variety of scenarios, including the ones that can become safety-critical.<br/>One disadvantage of the direct interaction approach that characterizes touchscreen operation is the feedthrough of accelerations through the human...
master thesis 2024
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Creagh, Conor (author)
In recent years, researchers have proposed a variety of approaches to tackle the problem of orbital debris. Debris targets are diverse, and prior knowledge may be limited, with unknown uncooperative debris targets being the most challenging category. A crucial portion of any debris capture scenario is the observation phase during the approach....
master thesis 2024
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Schelbergen, M. (author)
The potential of utility-scale airborne wind energy (AWE) systems to contribute significantly to the energy transition hinges on their large-scale deployment, which depends on the cost-competitiveness and complementarity with conventional wind turbines. Central to the assessment of these metrics is understanding long-term energy production,...
doctoral thesis 2024
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Alfaraj, Ali (author)
Imaging and inversion with seismic data recorded with sources and receivers at the surface are powerful tools to infer knowledge about the subsurface. However, creating an image with seismic data is unfortunately not as easy as taking a picture with a smartphone. The estimated subsurface models in many situations are far from ideal due to the...
doctoral thesis 2024
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Bekkers, Sam (author)
The generation of a 3D map of an unseen environment, obtained through solving the SLAM problem, is a popular topic currently in the robotics domain. The Lunar Rover Mini (LRM) at the German Aerospace Center solves this problem using a RGB-D camera system, which is favourable in space applications due to its lightweight characteristics and energy...
master thesis 2024
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Esteves Henriques, Bernardo (author)
Search and Rescue (SaR) missions present challenges due to the complexity of the disaster scenarios. Most life losses and injuries occur in developing countries. Robotics has become indispensable for rapidly locating disaster victims. Combining flying and ground robots more effectively serves this purpose due to their complementary features. To...
master thesis 2024
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Waterhout, Max (author)
This study investigates the influence of synthetic data on the accuracy of 6D pose estimation in RGB images compared to RGB-Depth image-based methods. Additionally, it aims to examine how this performance varies across different types of small chess pieces during a picking task with a robotic arm. The methodology involves 3D scanning the chess...
master thesis 2024
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Mohammadkarimi, M. (author), Leus, G.J.T. (author), Rajan, R.T. (author)
A new method for joint ranging and Phase Offset (PO) estimation of multiple drones/aircrafts is proposed in this paper. The proposed method employs the superimposed uncoordinated Automatic Dependent Surveillance-Broadcast (ADS-B) packets broadcasted by drones/aircrafts for joint range and PO estimation. It jointly estimates range and PO prior...
journal article 2024
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Dash, T.K. (author), Driessen, J.N. (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)
The problem of the limited accuracy of precipitation Doppler spectrum moments estimation measured by fast azimuthally scanning weather radars is addressed. A novel approach for the Doppler moment estimation based on maximum likelihood estimation is proposed. A simplified semianalytical parametric model for the precipitation power spectral...
journal article 2024
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Skrickij, Viktor (author), Kojis, Paulius (author), Šabanovič, Eldar (author), Shyrokau, B. (author), Ivanov, Valentin (author)
Integrated chassis control systems represent a significant advancement in the dynamics of ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability. As vehicles transition from internal combustion to electric platforms, integrated chassis control systems have evolved to meet the demands of electrification and...
review 2024
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Vakili, S. (author), Khosravi, M. (author), Mohajerin Esfahani, P. (author), Mazo, M. (author)
We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process uncertainty, respectively. Employing a stochastic model as prior knowledge for the parameters of the unknown output map, we reconstruct their estimates...
journal article 2024
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Lu, C.J. (author)
Real-time nonintrusive occupancy estimation can maximize the use of existing sensors to infer occupant information in buildings with the advantages of fewer privacy concerns and fewer extra device costs. Recently, many deep learning architectures have proven effective in estimating occupancy directly from raw sensor data. However, some...
journal article 2024
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Paldino, Gian Marco (author), De Caro, Fabrizio (author), De Stefani, J. (author), Vaccaro, Alfredo (author), Bontempi, Gianluca (author)
Dynamic Thermal Rating (DTR) enhances grid flexibility by adapting line capabilities to weather conditions. For this purpose, DTR-based technologies require reliable and continuous measurement of the conductor temperature along the line route, which could hinder their wide-scale deployment due to the prohibitively high number of required...
journal article 2024
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Glab, K. (author), Wehrmeyer, G. (author), Thewes, M. (author), Broere, W. (author)
Designing the main drive motor capacity of Earth Pressure Balanced Tunnel Boring Machines (EPB TBMs) is a crucial task for every EPB tunnelling project. The machine needs to be equipped with sufficient power to master the geotechnical conditions of the respective project. On the other hand, overpowering the machine should be avoided for...
journal article 2024
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Négyesi, B. (author), Andersson, Kristoffer (author), Oosterlee, Cornelis W. (author)
A novel discretization is presented for decoupled forward–backward stochastic differential equations (FBSDE) with differentiable coefficients, simultaneously solving the BSDE and its Malliavin sensitivity problem. The control process is estimated by the corresponding linear BSDE driving the trajectories of the Malliavin derivatives of the...
journal article 2024
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Zhu, J. (author), Gienger, Michael (author), Franzese, G. (author), Kober, J. (author)
Developing physically assistive robots capable of dressing assistance has the potential to significantly improve the lives of the elderly and disabled population. However, most robotics dressing strategies considered a single robot only, which greatly limited the performance of the dressing assistance. In fact, healthcare professionals...
journal article 2024
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Pengel, A.L. (author), Bierkens, G.N.J.C. (author)
Strong invariance principles describe the error term of a Brownian approximation to the partial sums of a stochastic process. While these strong approximation results have many applications, results for continuous-time settings have been limited. In this paper, we obtain strong invariance principles for a broad class of ergodic Markov...
journal article 2024
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Yan, Dong (author), Gugushvili, Shota (author), van der Vaart, A.W. (author)
We obtain rates of contraction of posterior distributions in inverse problems with discrete observations. In a general setting of smoothness scales we derive abstract results for general priors, with contraction rates determined by discrete Galerkin approximation. The rate depends on the amount of prior concentration near the true function...
journal article 2024
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