Searched for: subject%3A%22Particle%255C%2BFiltering%22
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Moreno León, C. (author)
Radar-tracking of low-observable targets such as drones suffers from low detection performance. In these type of applications, it is desirable to avoid data thresholding in order to preserve the weak target signal in the raw sensor data. This thesis considers the Multiple Object Tracking (MOT) problem in the context of radar Track-before-Detect ...
doctoral thesis 2023
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Lut, Jasper-Jan (author)
Drones that perform complex autonomous movements require a perfect estimate of their current position. However, internal measurement unit (IMU) errors introduce drift in this estimate, leading to significant discrepancies between the predicted and actual location. Various solutions have been proposed to calibrate the IMU, including methods...
master thesis 2023
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Chen, Yue (author)
Tactile Internet (TI) is a pioneering network paradigm that aims to communicate haptic feedback with ultra-low latency. It will enable new ways for us to interact with remote environments, such as transferring skills over the network and controlling remote objects. One crucial component of this framework is the ability to track the position and...
bachelor thesis 2023
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Snijder, Koen (author)
The Tactile Internet (TI) aims to expand seamless interaction over the Internet by providing a new form of interaction through touch by providing haptic feedback. To realize this, the TI is limited by a round-trip latency of 1-10 ms, meaning that the TI is limited by a physical distance of 1500 km. A workaround to this requirement is the...
bachelor thesis 2023
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van Baasbank, Erik (author)
Charting hyperlocal wind using a drone is a challenge of increased attention as it unlocks potential in a variety of fields. In context of the METeo Sensors In the Sky project, this study proposes a method to estimate the magnitude and direction of wind using a quadcopter in hover and cruise without a dedicated wind sensor. Only on-board sensors...
master thesis 2023
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Yue, N. (author), Galanopoulos, Georgios (author), Loutas, Theodoros (author), Zarouchas, D. (author)
During the service of composite airframes, damage initiates and accumulates due to the manufacturing imperfections, impact damage and cyclic loadings, leading to the degradation in its load-bearing capacity. The nature of the degradation process is complicated due to the multi-mode damage propagation and complexity in the structural details...
conference paper 2023
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Mignacco, Chiara (author)
Since their introduction in 1993, particle filters are amongst the most popular algorithms for performing Bayesian inference on state space models that do not admit an analytical solution. In this thesis, we will present several particle filtering algorithms adapted to a class of models known as Piecewise Deterministic Markov Processes (PDMP), i...
master thesis 2022
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Tang, Rui (author)
The recent advances in wireless communication, micro-fabrication, and integration have led to the rise of multi-agent networks such as wireless sensor networks, drone swarms, and satellite arrays. These multi-agent networks comprise multiple agents, which cooperate to solve a problem collectively, beyond the individual knowledge of a single...
master thesis 2022
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Gökbulut, Mert (author)
One of the key problems of swarm robotics is how the mobile robots can navigate accurately in a given environment. To achieve this, the mobile robots need to accurately determine where they are globally, or relative to other robots and landmarks. This paper is going to be an investigation of the Monte Carlo Localization algorithm in an...
bachelor thesis 2022
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Olaru, Alexandra (author)
The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time. This paper provides a model to track objects in neuromorphic datasets, using clustering. In addition, a non-linear filter is...
bachelor thesis 2022
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den Boer, Dirk (author)
Accurate vehicle localization is considered to be a key element in future automated driving systems. A network of multiple sensors is employed to deliver information for this localization process. Loosely coupled integration of global navigation satellite systems (GNSS) and inertial navigation systems (INS) data is a common sensor-fusion method...
master thesis 2022
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Osman, M.E.A. (author), Viset, F.M. (author), Kok, M. (author)
In this paper, a simultaneous localization and mapping algorithm for tracking the motion of a pedestrian with a foot-mounted inertial measurement unit is proposed. The algorithm uses two maps, namely, a motion map and a magnetic field map. The motion map captures typical motion patterns of pedestrians in buildings that are constrained by e.g....
conference paper 2022
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Huang, Yilin (author), Xie, Xu (author), Cho, Yubin (author), Verbraeck, A. (author)
Data assimilation (DA) is a methodology widely used by different disciplines of science and engineering. It is typically applied to continuous systems with numerical models. The application of DA to discrete-event and discrete-time systems including agent-based models is relatively new. Because of its non-linearity and non-Gaussianity, the...
journal article 2022
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Graas, Rik (author)
Several initiatives are being developed to shift the current paradigm in Air Traffic Management (ATM) from the tactical-based approach to more strategic-based coordination of flights. This transformation of the ATM system relies on the improvement of predictive models that predict the 4D-trajectory of an aircraft. Previous studies primarily...
master thesis 2021
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Wang, Z. (author)
This dissertation's ultimate goal is to provide solutions to two problems that the promising data assimilation method, called the Particle Filter, has when applied to high dimensional non-linear models, such as those often used in hydrological research and forecasting. Two local particle filters have been proposed to overcome three major issues....
doctoral thesis 2021
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Mitici, M.A. (author), de Pater, I.I. (author)
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from clusters of components with similar degradation trends. Time-series degradation measurements are...
journal article 2021
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Li, X. (author), Cheng, Ai Jie (author), Lin, H.X. (author)
We present an approach which combines the sample regenerating particle filter (SRGPF) and unequal weight ensemble Kalman filter (UwEnKF) to obtain a more accurate forecast for nonlinear dynamic systems. Ensemble Kalman filter assumes that the model errors and observation errors are Gaussian distributed. Particle filter has demonstrated its...
journal article 2021
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De Jonghe, Thomas (author)
High performance continuous fiber-reinforced composites are becoming increasingly important in the aerospace industry. In these structures, internal damage is often created and propagated throughout the lifetime, having a negative impact on the structural properties. In order to allow for condition-based maintenance, there is a need for reliable...
master thesis 2020
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van Ingen, Bart (author)
Pedestrian indoor localization is a problem yet to have a solution that is as generally accepted as the Global Positioning System is for outdoor localization. An infrastructure-independent option is to leverage the data from Inertial Measurement Unit (IMU) sensors to determine position. An advantage of this approach is that these sensors are...
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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