Essays about: "partikel-filter"
Found 4 essays containing the word partikel-filter.
-
1. Underwater Rao-Blackwellized Particle Filter SLAM using Stochastic Variational Gaussian Processes maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, we introduce a Rao-Blackwellized Particle Filter (RBPF) for the algorithm Simultaneously Localizing and Mapping (SLAM) to be used on an Autonomous Underwater Vehicle (AUV) with a Stochastic Variational Gaussian Process (SVGP) algorithm. With a positive result, the combination was proven to be working. READ MORE
-
2. Finding the most suitable auxiliary sonar for terrain-aided navigation and behavior-fusion based obstacle avoidance for an autonomous underwater vehicle
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Autonomous underwater vehicles are rapidly becoming more common and developed for both military as well as civilian applications such as; mine countermeasures or in the field of geoscience. One of the main issues these vehicles are facing today is the navigation capability. READ MORE
-
3. Particle-based Stochastic Volatility in Mean model
University essay from KTH/Matematisk statistikAbstract : This thesis present a Stochastic Volatility in Mean (SVM) model which is estimated using sequential Monte Carlo methods. The SVM model was first introduced by Koopman and provides an opportunity to study the intertemporal relationship between stock returns and their volatility through inclusion of volatility itself as an explanatory variable in the mean-equation. READ MORE
-
4. Indoor localization of hand-held Shopping Scanners
University essay from KTH/Data- och elektroteknikAbstract : This thesis investigates applicable indoor navigation systems for the next generation of hand-held shopping scanners, on behalf of the company Virtual Stores. The thesis research and review applicable indoor localization methods and ways to combine and evaluate received localization data in order to provide accurate navigation without introducing any other worn equipment for a potential user. READ MORE