Essays about: "Kalman Filtrering"

Showing result 1 - 5 of 15 essays containing the words Kalman Filtrering.

  1. 1. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jiaqi Xu; [2023]
    Keywords : Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

    Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE

  3. 2. Implementing Kalman Filtering Algorithms for Estimating Clamp Force on a Test Rig : Testing the Power and Limitations of Unscented Kalman Filter-based Estimations

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Tim Naser; [2023]
    Keywords : Clamping Froce; Kalman Filtering; Unscented Kalman Filtering; Tightening; Consequence of User Errors During Tightening; Velocity Profiles; Klämkraft; Kalman Filtrering; Unscented Kalman Filtrering; Åtdragning; Konsekvens av Användarfel Under Åtdragning; Hastightersprofiler.;

    Abstract : his study explores clamp force estimation using Unscented Kalman Filtering (UKF) in torque-controlled tightening scenarios with various velocity profiles. Previous research has explored the impact of velocity levels on target torque and clamping force, but only using hand-held tools. READ MORE

  4. 3. Towards Navigational Aids using Augmented Reality for People with Alzheimer’s Disease in Outdoor Environments : A user study using HoloLens 2 around a University campus

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Léa Prémont; [2023]
    Keywords : Augmented reality; Alzheimer’s disease; Navigation; Assistive technology; HoloLens 2; Optical See-Through; Localization; Kalman filter; Hologram; TLX; SUS; Réalité augmentée; Alzheimer; Navigation; Technologie d’assistance; HoloLens 2; Optical See-Through; Localisation; Filtre de Kalman; Hologramme; TLX; SUS; Förstärkt verklighet; Alzheimers sjukdom; Navigering; Tekniska hjälpmedel; HoloLens 2; Optisk genomskinlighet; Lokalisering; Kalman-filter; Hologram; TLX; SUS;

    Abstract : This paper investigates the potential of augmented reality (AR) as a navigational aid for individuals with Alzheimer’s disease (AD), offering innovative solutions to the evolving challenges of AD care. As the disease progresses, patients often require more assistance and may transition to care centers, resulting in reduced independence. READ MORE

  5. 4. Test Rig Development for Real Time Clamping Force Estimation in Threaded Tightenings with Implemented Extended Kalman Filtering

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Annie Farell; [2023]
    Keywords : Clamping force; Threaded Fastener; Extended Kalman Filtering; Test Rig Development; Real Time Estimation; Sensor Placement.; Klämkraft; gängad fästelement; utökad Kalman filtrering; testrigsutveckling; estimering i realtid; sensorplacering.;

    Abstract : The clamping force between the components during bolt tightening is of great interest, and it has been the focus of developing new tightening techniques for a long time. Today there is no easy or practical method to directly measure the clamping force in a typical production situation. READ MORE

  6. 5. Navigational system for visually impaired people in a swimming pool

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Samy Shady Ahmed; [2019]
    Keywords : ;

    Abstract : In this thesis conducted at IBM in Amsterdam we explore the ability Computer Vision has to assist visually impaired people in navigating a swimming pool. We examine different Computer Vision techniques and develop an algorithm to navigate a swimmer in a pool. READ MORE