Searched for: subject%3A%22filters%22
(1 - 13 of 13)
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Larocque, Frédéric (author)
Pitot tube-free airspeed estimation methods exist for fixed-wing and multirotor configurations, but lack direct applicability to hybrid unmanned air vehicles due to their wide flight envelope and changing dynamics during transition. This work proposes a novel synthetic air data system for the Variable Skew Quad Plane (VSQP) hybrid vehicle to...
master thesis 2023
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van der Laan, Niels (author)
This thesis investigates the performance of the invariant extended Kalman filter (IEKF) compared to the multiplicative extended Kalman filter (MEKF) in the context of nonlinear state estimation on matrix Lie groups. The IEKF, a relatively recent variant of the EKF, is particularly suitable for systems with group-affine process models and...
master thesis 2023
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Li, Yiting (author)
Localization is one of the most fundamental competencies required by an autonomous robot, providing crucial information about its position for decision-making in indoor environments. In the current literature, an indoor localization system utilizes exteroceptive sensors such as GNSS(Global Navigation Satellite System), a camera, or an ultrasonic...
master thesis 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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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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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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Alforja Ruiz, Iñigo (author)
Space debris is becoming one of the major risks to be suffered by operating and future space missions. Recent studies show that the number of potentially hazardous uncontrolled orbital bodies is growing with time, increasing the probability of impact with operational satellites. To counteract this problem, several studies are being suggested to...
master thesis 2020
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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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Katsaounis, Georgios (author)
Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is very small have gained research interest recently. In these cases, it is possible that multiple sensor detections are generated by each object of interest. Extended Object...
master thesis 2019
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Rijnsdorp, J. (author)
Re-entry is a term that is applied when one would like to transport some (human) payload from an orbit around a certain body towards the surface of that body. With an entry velocity of multiple kilometers per second, having the vehicle carrying this payload not smashed into pieces at the end of flight is one of the key points of re-entry. Using...
master thesis 2017
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Raghavan, V.S. (author)
In the elderly population, falls are one of the major causes of injuries. Fall detection algorithms for wearable devices in the literature were found to focus on differentiating Activities of Daily Living (ADL) from falls, rather than on early fall detection and prevention before impact. This thesis work was aimed at providing accurate estimates...
student report 2016
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de Ridder, K.M. (author)
Convex guidance is a developing guidance algorithm that seeks to unify the trajectory optimisation for pin-point landings. The unification would mean the elimination of the need of different optimisation techniques for different stages of the landing. Using convex optimisation, convex guidance is guaranteed to find the global-optimum of the design...
master thesis 2016
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Van Erp, P.B.C. (author)
Traffic state estimation is an important element in traffic management systems. In this research a freeway traffic state estimation methodology is proposed which allows to incorporate the information and uncertainties of heterogeneous data-types, namely loop-detector data and floating car data. The loop-detector data provides estimation of speed...
master thesis 2015
Searched for: subject%3A%22filters%22
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