Essays about: "Unscented transform"
Found 4 essays containing the words Unscented transform.
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1. Inverse Uncertainty Quantification using deterministic sampling : An intercomparison between different IUQ methods
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : In this thesis, two novel methods for Inverse Uncertainty Quantification are benchmarked against the more established methods of Monte Carlo sampling of output parameters(MC) and Maximum Likelihood Estimation (MLE). Inverse Uncertainty Quantification (IUQ) is the process of how to best estimate the values of the input parameters in a simulation, and the uncertainty of said estimation, given a measurement of the output parameters. READ MORE
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2. Development of an ICP-based Global Localization System
University essay from Linköpings universitet/ReglerteknikAbstract : The most common way to track the position of a vehicle is by using the Global Navigation Satellite System (GNSS). Unfortunately, there are many scenarios where GNSS is inaccessible or provides low precision, and it can therefore be vulnerable to only rely on GNSS. READ MORE
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3. Analysis of the Representation of Orbital Errors and Improvement of their Modelling
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In Space Situational Awareness (SSA), it is crucial to assess the uncertainty related to thestate vector of resident space objects (RSO). This uncertainty plays a fundamental role in, forexample, collision risk assessment and re-entry predictions. A realistic characterization of thisuncertainty is, therefore, necessary. READ MORE
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4. Ensemble for Deterministic Sampling with positive weights : Uncertainty quantification with deterministically chosen samples
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : Knowing the uncertainty of a calculated result is always important, but especially so when performing calculations for safety analysis. A traditional way of propagating the uncertainty of input parameters is Monte Carlo (MC) methods. A quicker alternative to MC, especially useful when computations are heavy, is Deterministic Sampling (DS). READ MORE
