Sökning: "indoor tracking"

Visar resultat 1 - 5 av 56 uppsatser innehållade orden indoor tracking.

  1. 1. Machine Learning for Spatial Positioning for XR Environments

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Khaled Alraas; [2024]
    Nyckelord :Extended Reality; Machine Learning; Sensor Fusion; Spatial Data Accuracy Virtual Productions; Augmented Reality; Virtual Reality; Real-time Camera Tracking; Location-Based Services; Gaming Platforms; Sensor Integration;

    Sammanfattning : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. LÄS MER

  3. 2. Wi-Fi fingerprinting as a mean to measure building occupancy : A case study in an office environment

    Master-uppsats, KTH/Transportplanering

    Författare :Johan Bexhorn; Karl Kvarnefalk; [2023]
    Nyckelord :Wi-Fi tracking systems; Wi-Fi fingerprinting; footfall analytics;

    Sammanfattning : The task of collecting visitor data in an indoor environment and therein determining the occupancy of a building is an extensive task. Conventional methods are expensive, time-consuming, and often lack the ability to produce data in longer time series. Further, they often require disruption of the studied area as equipment must be deployed. LÄS MER

  4. 3. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

    Författare :Serhat Bulun; [2023]
    Nyckelord :;

    Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

  5. 4. Map generation using a smartphone’s built in localisation and mapping algorithms

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Emil Harvig; [2023]
    Nyckelord :Point Cloud; SLAM; vSLAM; Pose; Occupancy Grid Map; OGM; ARcore; Technology and Engineering;

    Sammanfattning : Localisation and mapping algorithms for smartphones have in recent years seen a renewed interest due to their technological advancements. Using these systems to generate an indoor blueprint where none is available or incomplete is useful in tracking applications. LÄS MER

  7. 5. Comparison of camera data types for AI tracking of humans in indoor combat training

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Viktor Zenk; Willy Bach; [2022]
    Nyckelord :Artificial intelligence; Machine learning; Multiple object tracking; Object detection; NIR; Depth camera;

    Sammanfattning : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. LÄS MER