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Visar resultat 1 - 5 av 36 uppsatser som matchar ovanstående sökkriterier.

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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  3. 2. Effect of ash on catalytic activity for passive regeneration of catalytic diesel particulate filter : Evaluation of ash deposition by laboratory ageing

    Master-uppsats, KTH/Kemiteknik

    Författare :Gisela Engström; [2022]
    Nyckelord :Diesel Particulate Filter; Ash deposition; Laboratory Ageing; Catalytic Activity; Passive regeneration;

    Sammanfattning : Askackumulering i dieselpartikelfilter är ett välkänt problem som resulterar i ett förhöjt mottryck och påverkad prestanda hos fordonet. Däremot ges sällan uppmärksamhet åt filtrets katalytiska aktivitet och hur det påverkas vid förekomst av avgasföroreningar. LÄS MER

  4. 3. KL/TV Reshuffling : Statistical Distance Based Offspring Selection in SMC Methods

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oskar Kviman; [2022]
    Nyckelord :;

    Sammanfattning : Over the years sequential Monte Carlo (SMC), and, equivalently, particle filter (PF) theory has enjoyed much attention from researchers. However, the intensity of developing innovative resampling methods, also known as offspring selection methods, has long been declining, with most of the popular schemes aging back two decades. LÄS MER

  5. 4. Indoor 5G Positioning using Multipath Measurements

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Andreas Lidström; Martin Andersson; [2022]
    Nyckelord :Multipath Propagation; 5G Networks; Target Tracking; Sensor Fusion; Positioning; Particle Filter; Kalman Filter;

    Sammanfattning : Positioning with high precision and reliability is considered as an important feature of new wireless radio networks such as 5G. In areas where satellite positioning is not available or is not reliable enough, 5G can work as an alternative. An example is inside factories where autonomous vehicles might need to be positioned in complex environments. LÄS MER

  7. 5. Terrain Referenced Navigation with Path Optimization : Optimizing Navigation Accuracy by Path Planning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Martin Gelin; [2022]
    Nyckelord :Terrain Referenced Navigation; Localization; Particle Filter; Rao-Blackwellized Particle Filter; Kalman Filter; Path Planning; Terrängbaserad navigering; Lokalisering; Partikelfilter; Rao-Blackwelliserat partikelfilter; Kalmanfilter; Banplanering;

    Sammanfattning : Terrain referenced navigation is a method of navigation that uses measurements of altitude above ground to infer the position of the vehicle, mainly aerial or underwater. This method provides an alternative to the commonly used satellite-based navigation. LÄS MER