Sökning: "localization accuracy"

Visar resultat 1 - 5 av 164 uppsatser innehållade orden localization accuracy.

  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. Independent validation of a system for real-time localization of the prostate during motion tracking radiotherapy

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Klara Stefansson; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Intrafractional prostate motion during external beam radiotherapy of prostate tumors has been reported as a limiting factor in accurate treatment delivery. Technology for real-time image-guided radiotherapy has been introduced for tracking and for compensating prostate motion during treatment and could allow for reduced target margins. 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. Movement Estimation with SLAM through Multimodal Sensor Fusion

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Jimmy Cedervall Lamin; [2024]
    Nyckelord :slam; discrete-slam; continuous-slam; synchronous; asynchronous; computer vision; BRISK; opencv; ceres; visual; inertial; sensor fusion; multimodal; Simultaneous Localization and Mapping; time offset; pose estimation; quaternions; movement estimation;

    Sammanfattning : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. LÄS MER

  7. 5. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

    Författare :Javier Ferre Martin; [2023]
    Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER