Sökning: "semantisk segmentering"

Visar resultat 21 - 25 av 58 uppsatser innehållade orden semantisk segmentering.

  1. 21. Semantic segmentation of off-road scenery on embedded hardware using transfer learning

    Master-uppsats, KTH/Mekatronik

    Författare :Filip Elander; [2021]
    Nyckelord :Semantic Segmentation; forestry navigation; Deep Neural Network; autonomous navigation; residual neural network; Convolutional neural network; Semantisk Segmentering; Autonom Terrängnavigering; Residuala Nätverk; Konvolutionellt Neuralt Nätverk; Autonom navigering;

    Sammanfattning : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. LÄS MER

  3. 22. Operational data extraction using visual perception

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

    Författare :Nagarajan Shunmugam; [2021]
    Nyckelord :Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Sammanfattning : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. LÄS MER

  4. 23. Road Damage Segmentation for Mobile Hardware

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

    Författare :Martti Yap; [2021]
    Nyckelord :Road Damage; Deep Learning; Image Segmentation.; Vägskador; Djupinlärning; Bildsegmentering.;

    Sammanfattning : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. LÄS MER

  5. 24. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Viktor Rogowski; [2021]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. LÄS MER

  7. 25. Real-time hand segmentation using deep learning

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

    Författare :Federico Favia; [2021]
    Nyckelord :Hand Segmentation; Semantic Segmentation; Deep Learning; Convolutional Neural Networks; Real-time; Augmented Reality; Embedded Devices; Dataset; Transfer Learning; Handsegmentering; Semantisk Segmentering; Djupinlärning; Konvolutionsneurala Nätverk; Realtid; Förstärkt Verklighet; Inbäddade Enheter; Datauppsättning; Transferlärning;

    Sammanfattning : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. LÄS MER