Sökning: "Objekt detektering"

Visar resultat 16 - 20 av 44 uppsatser innehållade orden Objekt detektering.

  1. 16. Autonomously docking, using object detection, and path planning

    Master-uppsats, KTH/Mekatronik

    Författare :Joel Bergman; [2021]
    Nyckelord :;

    Sammanfattning : With today’s climate change Volvo Construction Equipment (CE) must develop machines that emit less carbon dioxide or no carbon dioxide at all. One way to go is to electrify their machines. Volvo CE has developed an autonomous electric machine called HX02. Today the HX02 is charged with an inverted pantograph. LÄS MER

  3. 17. Real-time Small Object Detection using Deep Neural Networks

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

    Författare :Malcolm Tivelius; [2021]
    Nyckelord :;

    Sammanfattning : Object detection is a research area within computer vision that consists of both localising and classifying objects in images. The applications of this kind of research in society are many, ranging from facial recognition to self driving cars. LÄS MER

  4. 18. The impact of imagesize reduction andcontrast adjustmenton brain cellcounting with U- Net

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

    Författare :Daniel Onegård; Pontus Cowling Mantefors; [2021]
    Nyckelord :;

    Sammanfattning : In the quest for understanding diseases, aging and the human experience neuroscientists and researchers want to simulate both human and animal brains. This has created a demand for measuring brain cell counts and densities throughout the different sections of the brain. LÄS MER

  5. 19. Object Detection with Deep Convolutional Neural Networks in Images with Various Lighting Conditions and Limited Resolution

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

    Författare :Roman Landin; [2021]
    Nyckelord :Object detection; Super Resolution image generation; Low-Light image enhancement; Computer Vision; Detektion av objekt; Bildgenerering med superupplösning; Förbättring av bilder med dålig belysning; Datorseende;

    Sammanfattning : Computer vision is a key component of any autonomous system. Real world computer vision applications rely on a proper and accurate detection and classification of objects. A detection algorithm that doesn’t guarantee reasonable detection accuracy is not applicable in real time scenarios where safety is the main objective. LÄS MER

  7. 20. Privacy-preserving Building Occupancy Estimation via Low-Resolution Infrared Thermal Cameras

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

    Författare :Shuai Zhu; [2021]
    Nyckelord :Building occupancy estimation; People counting; Privacy-preserving; Low-resolution thermal camera; Multiple Object Detection; Multiple Object Tracking; Uppskattning av bebyggelse; personräkning; integritetsbevarande; värmekamera med låg upplösning; detektering av flera objekt; spårning av flera objekt;

    Sammanfattning : Building occupancy estimation has become an important topic for sustainable buildings that has attracted more attention during the pandemics. Estimating building occupancy is a considerable problem in computer vision, while computer vision has achieved breakthroughs in recent years. LÄS MER