Searched for: subject%3A%22Kalman%255C%2Bfilter%22
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Khodabandeh, A. (author), Teunissen, P.J.G. (author), Psychas, D. (author)
To obtain single-receiver Global Navigation Satellite System (GNSS) parameter solutions, the PPP-RTK user-filter combines measurements with time-correlated corrections that are separately computed by the filter of an external provider. The consequence of exercising such double-filtering is that the Kalman filter’s standard assumption of...
journal article 2023
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Mohsan, M. (author), Vardon, P.J. (author), Vossepoel, F.C. (author)
Data assimilation methods have been implemented on a slope stability problem, and the performance of different constitutive models and data assimilation schemes has been investigated. In the first part, a data assimilation scheme called the ensemble Kalman filter (EnKF) is implemented using a finite element model (FEM) and its performance with...
conference paper 2023
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CORTES PERALTA, Max (author)
The challenge of dealing with patients suffering from chronic diseases and an aging population requires evolving from traditional hospital-based healthcare systems into a person-centered approach, where patients can be monitored remotely via modern technologies by cost-effective and reliable solutions based on emerging technologies in the...
master thesis 2022
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Veen, Thijs (author)
Indoor localisation is a growing field of interest in recent studies. While GPS (global positioning system) is a standard for outdoor localisation, no such solution exists for indoor applications. The literature provides several methods to obtain the location of indoor systems, often using optical sensors. A small number of recent studies use...
master thesis 2022
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Liu, Changrui (author)
Relative localization (RL) is essential for the successful operation of micro air vehicle (MAV) swarms. Achieving accurate 3-D RL in infrastructure-free and GPS-denied environments with only distance information is a challenging problem that has not been satisfactorily solved. In this work, based on the range-based peer-to-peer RL using the...
master thesis 2022
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Conings, Vincent (author)
To ensure long-term sustainable access to space, it is of paramount importance that humankind acts to alleviate the space debris problem in near vicinity of Earth. The most effective mitigation strategy for large debris items is provided by active debris removal missions, which remove one or more resident space objects from orbit. The execution...
master thesis 2022
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Piera, Sybe (author)
Future human-machine control tasks with preview (e.g., car driving) are expected to include automation for safety, but keep operators in charge for liability. Such shared control applications require time-varying human identification because the control feedback should be compatible with the operator's variable behavior. A promising time-domain...
master thesis 2022
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YANG, Xuzhou (author)
As unmanned aerial systems (UAS) turn into a full-fledged industry, the sky will be much more crowded in the future. Large-scale UAV applications make reliable UAV navigation a pressing need. Traditionally, global navigation satellite system (GNSS) is extensively used as the primary positioning, navigation, and timing (PNT) service. However,...
master thesis 2022
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Ni, Ying-Chuan (author)
Adaptive Cruise Control (ACC) relieves human drivers’ tasks by taking over the control of the throttle and braking of the vehicles automatically. However, it has been demonstrated in many empirical studies that current production ACC systems fail to guarantee string stability. It is believed that if vehicles can take the longitudinal dynamics...
master thesis 2022
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Li, Zhonggang (author)
Distributed formation control has received increasing attention in multiagent systems. Maintaining certain geometry in space is advantageous in many applications such as space interferometry and underwater sensing. At present, there is a variety of distributed solutions for agents to converge to desired formations and track a series of...
master thesis 2022
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Tanis, Tobias (author)
Autonomous orbit determination could help reducing the growing load on ground-based deep space networks. For small satellites, orbit determination based solely on inter-satellite measurements could be a strong alternative for conventional ground-based navigation support. The possibilities of this autonomous orbit determination method are...
master thesis 2022
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van Koppen, Bram (author)
Streaming video completion is the practice that aims to fill in missing or corrupted pixels in a video stream by using past uncorrupted data. A method to tackle this problem is recently introduced called a Tensor Networked Kalman Filter (TNKF). It shows promising results in terms of performance compared to state-of-the-art methods for high...
master thesis 2022
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Kronemeijer, Sander (author)
The world’s reliability on the Global Position System (GPS) is experiencing more and more vulnerabilities. Not just environmental factors are responsible for GPS inaccuracies, but blocking or spoofing location signals has become more commonly available worldwide. This raises interest in other methods to navigate without 3rd party connections....
bachelor thesis 2022
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van Oorschot, Marijn (author)
Spacecraft navigation and control is difficult in deep space operations. Especially around asteroids, the irregular gravity field increases the difficulty of estimating the spacecraft trajectory. Autonomous navigation can increase the safety and accuracy for orbit proximity operations. Furthermore, it eliminates the need for continuous...
master thesis 2022
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Luteijn, Peter (author)
Research into Aerodynamic Stall Model Identification (ASMI) is an ongoing endeavor to create a model that achieves the highest fidelity, that aids in upset recovery training of pilots in Flight Simulator Training Devices (FSTD). Aircraft come in various configurations, one aircraft stall model cannot sufficiently provide a full understanding...
master thesis 2022
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Ali, Suleyman (author)
A majority of existing single-anchor localization algorithms make use of antenna arrays or special antenna systems. However, the need for specialized antenna systems incurs higher costs, complexity and power consumption. This paper presents a novel single-anchor localization algorithm, which does not require antenna arrays or special antennas....
bachelor thesis 2022
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Castelijn, Moos (author)
Groundwater is an essential ingredient in farming, knowledge about how this is expected to change over time can help farmers improve yields and save water. Predictions about the groundwater level can be made using a mathematical model. This model takes into account the precipitation and evaporation, the flux towards a deeper aquifer and flux to...
bachelor thesis 2022
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ten Klooster, Fons (author)
Research in passive Heating, Ventilation, and Air Conditioning (HVAC) systems has gained traction over the last few years. Although passive HVAC is not a new concept, advances in environment sensing, control methods, and hardware have made it a more viable method. Some difficulties still exist, such as optimal sensor placement and optimal...
master thesis 2022
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Psychas, D.V. (author)
Precise Point Positioning (PPP) is a Global Navigation Satellite Systems (GNSS) modelling and processing method that provides single-receiver users with high positioning accuracy anywhere on the globe, without the explicit dependence on reference receivers. The realization of PPP is based on undifferenced code and phase measurements, a priori...
doctoral 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
Searched for: subject%3A%22Kalman%255C%2Bfilter%22
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