Sökning: "Indoor Localization"

Visar resultat 1 - 5 av 80 uppsatser innehållade orden Indoor Localization.

  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. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Swaroop Rachakonda; [2024]
    Nyckelord :Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Sammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER

  4. 3. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Woods; [2024]
    Nyckelord :Particle swarm optimization; indoor positioning system; machine learning; Wi-Fi; RSSI; RTT; artificial neural network; ADAM optimizer; Keras; TensorFlow;

    Sammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER

  5. 4. Machine Learning Model for Localization in an Urban Environment

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

    Författare :Erik Wallinder-Mähler; Magdalena Björk; [2023]
    Nyckelord :;

    Sammanfattning : The indoor localization problem has seen great improvements during the last tenyears and today it is possible to determine the location of electronic devices, such assmartphones, with centimeter precision. The aim of this project is to apply similar localizationmethods on multichannel antenna data gathered outdoors in an urban environment andanalyze the viability of this approach. LÄS MER

  7. 5. Ranging Error Correction in a Narrowband, Sub-GHz, RF Localization System

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

    Författare :Silvia Barrett; [2023]
    Nyckelord :Localization; Narrowband; Sub-GHz; Radio Frequency; RSSI; Time-of-Flight; Error mitigation; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression; Loalisering; Narrowband; Sub-GHz; Radiofrekvens; RSSI; Time-of-Flight; Felkorrigering; Machine Learning; Linear Regression; LeastSquares Support Vector Machine Regression; Gaussian Process Regression;

    Sammanfattning : Being able to keep track of ones assets is a very useful thing, from avoiding losing ones keys or phone to being able to find the needed equipment in a busy hospital or on a construction site. The area of localization is actively evolving to find the best ways to accurately track objects and devices in an energy efficient manner, at any range, and in any type of environment. LÄS MER