Sökning: "particle-filter"

Visar resultat 1 - 5 av 85 uppsatser innehållade ordet particle-filter.

  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. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods

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

    Författare :Diogo Antunes; [2023]
    Nyckelord :Robust state estimation; Underwater localization; Target tracking; Gaussian mixture; AUV; Estimação robusta de estado; Localização subaquática; Rastreamento de alvos; Mistura Gaussiana; AUV; Robust tillståndsuppskattning; Undervattenslokalisering; Målspårning; Gaussisk blandning; AUV;

    Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER

  4. 3. Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling

    Kandidat-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Benjamin Bolgakov; Anton Frank; [2023]
    Nyckelord :camera calibration; computer vision; SLAM; autonomous; navigation;

    Sammanfattning : The aim of this thesis is to investigate how well a generic monocular camera, placed on the vehicle, can be employed to localize an autonomous vehicle in a warehouse setting. The main function is to ascertain which zone the vehicle is currently in, as well as update the status when entering a new zone. LÄS MER

  5. 4. The Implementation and Evaluation of Learning Approaches to State Filtering

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

    Författare :Anna Wilhelmsson; [2022]
    Nyckelord :;

    Sammanfattning : State estimation uses measurements of a system’s output to estimate the state. A particular method within state estimation is filtering, which estimates the state using measurements up to and including the current time. LÄS MER

  7. 5. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Andre Ráth; [2022]
    Nyckelord :5G; Deep Learning; Positioning; Channel State Information; CSI; Deep-learning; neural-network; particle-filter; particle; filter; Channel Matrix; Beamformed Channel Matrix; localization; real-world; data-driven; 5G testbench; basestation; Technology and Engineering;

    Sammanfattning : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. LÄS MER