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Visar resultat 1 - 5 av 27 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Learning features for extrinsic camera calibration of wide-angle cameras

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Albin Holmkvist; Max Björkander; [2023]
    Nyckelord :Computer vision; camera calibration; machine learning; artificial intelligence; wireframes;

    Sammanfattning : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. LÄS MER

  3. 2. OMNIDIRECTIONAL OBJECT DETECTION AND TRACKING, FOR AN AUTONOMOUS SAILBOAT

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

    Författare :Edvin Asmussen; [2023]
    Nyckelord :;

    Sammanfattning : MDU, in collaboration with several other universities, plans to join the World Robotic Sailing Championship (WRSC), where in certain sub-challenges some object detection is necessary. Such as for detecting objects such as boats, buoys, and possibly other items. LÄS MER

  4. 3. A feminist critical discourse analysis of Sida’s gender ideology

    Kandidat-uppsats, Södertörns högskola/Institutionen för naturvetenskap, miljö och teknik

    Författare :Clara Viklund Bornhauser; [2022]
    Nyckelord :Postcolonial theory; International development cooperation; empowerment; intersectionality; power systems;

    Sammanfattning : This study offers a feminist critical discourse analysis of how Sida’s discourses can be viewed as consolidating a gender ideology and power asymmetries in gendered social orders. Critical discourse analysis (CDA) and feminist critical discourse analysis (FCDA) offer the theoretical and methodological framework to the investigation of gender ideology in Sida’s discourses. LÄS MER

  5. 4. Pixel correspondences for SLAM using sidescan sonar with canonical representations

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

    Författare :Weiqi Xu; [2022]
    Nyckelord :;

    Sammanfattning : Acoustic instruments play an important role in autonomous underwater vehicles (AUVs). Sidescan sonar (SSS) detects a wider range, provides photo-realistic images in high resolution, and has lower price than the multibeam echo sounder (MBES). LÄS MER

  7. 5. Using active learning for semi-automatically labeling a dataset of fisheye distorted images for object detection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Olof Bourghardt; [2022]
    Nyckelord :Machine learning; Object detection; Computer vision; Semi-automatic data labeling; Fisheye images;

    Sammanfattning : Self-driving vehicles has become a hot topic in today's industry during the past years and companies all around the globe are attempting to solve the complex task of developing vehicles that can safely navigate roads and traffic without the assistance of a driver.  As deep learning and computer vision becomes more streamlined and with the possibility of using fisheye cameras as a cheap alternative to external sensors some companies have begun researching the possibility for assisted driving on vehicles such as electrical scooters to prevent injuries and accidents by detecting dangerous situations as well as promoting a sustainable infrastructure. LÄS MER