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Visar resultat 21 - 25 av 135 uppsatser som matchar ovanstående sökkriterier.

  1. 21. Generating 3D Scenes From Single RGB Images in Real-Time Using Neural Networks

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Måns Grundberg; Viktor Altintas; [2021]
    Nyckelord :Scene reconstruction; 3D reconstruction; Pose Estimation;

    Sammanfattning : The ability to reconstruct 3D scenes of environments is of great interest in a number of fields such as autonomous driving, surveillance, and virtual reality. However, traditional methods often rely on multiple cameras or sensor-based depth measurements to accurately reconstruct 3D scenes. LÄS MER

  3. 22. APPLYING UAVS TO SUPPORT THE SAFETY IN AUTONOMOUS OPERATED OPEN SURFACE MINES

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Rasmus Hamren; [2021]
    Nyckelord :Object Detection; You only look once YOLO ; Unmanned aerial vehicle UAV ; Situational Awareness; Critical situations; Autonomous vehicle; Critical Global Positioning System GPS mapping;

    Sammanfattning : Unmanned aerial vehicle (UAV) is an expanding interest in numerous industries for various applications. Increasing development of UAVs is happening worldwide, where various sensor attachments and functions are being added. The multi-function UAV can be used within areas where they have not been managed before. LÄS MER

  4. 23. Automated Gait Analysis : Using Deep Metric Learning

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

    Författare :Isak Engström; [2021]
    Nyckelord :machine learning; deep learning; deep metric learning; artificial neural network; recurrent neural network; computer vision; gait; pose estimation;

    Sammanfattning : Sectors of security, safety, and defence require methods for identifying people on the individual level. Automation of these tasks has the potential of outperforming manual labor, as well as relieving workloads. LÄS MER

  5. 24. Multi-camera Computer Vision for Object Tracking: A comparative study

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Eric Turesson; [2021]
    Nyckelord :Multi-target multi-camera tracking; tracking; re-identification and image enhancement;

    Sammanfattning : Background: Video surveillance is a growing area where it can help with deterring crime, support investigation or to help gather statistics. These are just some areas where video surveillance can aid society. However, there is an improvement that could increase the efficiency of video surveillance by introducing tracking. LÄS MER

  7. 25. Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Nils Zandler Andersson; [2021]
    Nyckelord :Statistical Learning; Machine Learning; Deep Learning; Radar; Radar Point-Clouds; Supervised Contrastive Learning; Mathematics and Statistics;

    Sammanfattning : This thesis deals with radar data for the purpose of moving target classification in the context of surveillance. The radar data in question comes in the form of point-clouds represented as frame-wise histograms with several channels and we seek to improve upon an existing cross-entropy based deep learning classifier using supervised contrastive loss. LÄS MER