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Visar resultat 1 - 5 av 7 avhandlingar som matchar ovanstående sökkriterier.
1. GNSS-aided INS for land vehicle positioning and navigation
Sammanfattning : This thesis begins with a survey of current state-of-the art in-car navigation systems. The pros and cons of the four commonly used information sources — GNSS/RF-based positioning, vehicle motion sensors, vehicle models and map information — are described. Common filters to combine the information from the various sources are discussed. LÄS MER
2. Low-Cost Navigation Systems : A Study of Four Problems
Sammanfattning : Today the area of high-cost and high-performance navigation for vehicles is a well-developed field. The challenge now is to develop high-performance navigation systems using low-cost sensortechnology. LÄS MER
3. State estimation with auto-calibrated sensor setup
Sammanfattning : Localization and mapping is one of the key aspects of driving autonomously in unstructured environments. Often such vehicles are equipped with multiple sensor modalities to create a 360o sensing coverage and add redundancy to handle sensor dropout scenarios. LÄS MER
4. On Joint State Estimation and Model Learning using Gaussian Process Approximations
Sammanfattning : Techniques for state estimation is a cornerstone of essentially every sector of science and engineering, ranging from aeronautics and automotive engineering to economics and medical science. Common to state estimation methods, is the specification of a mathematical model of the underlying system in question. Typically, this is done a priori, i.e. LÄS MER
5. Approximative Uncertainty in Neural Network Predictions
Sammanfattning : Suppose data-driven black-box models, e.g., neural networks, should be used as components in safety-critical systems such as autonomous vehicles. In that case, knowing how uncertain they are in their predictions is crucial. LÄS MER
