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Visar resultat 1 - 5 av 160 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Vilma Ylvén; Oscar Montelin; [2024]
    Nyckelord :Technology and Engineering; Mathematics and Statistics;

    Sammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER

  3. 2. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Roos Eline Bottema; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. LÄS MER

  4. 3. Radar and sea clutter simulation with Unity 3D game engine

    M1-uppsats, Linköpings universitet/Programvara och system

    Författare :Mikael Johnsson; Linus Bergman; [2023]
    Nyckelord :radar simulation; sea clutter simulation; game engine; Unity; ray tracing; compute shader; graphics programming; GPU; radarsimulering; sjöklottersimulering; spelmotor; Unity; strålspårning; compute shader; grafisk programmering; GPU;

    Sammanfattning : Game engines are well known for their use in the gaming industry but are starting to have an impact in other areas as well. Architecture, automotive, and the defence industry are today using these engines to visualise and, to some extent, test their products. LÄS MER

  5. 4. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marcus Ascard; Farjam Movahedi; [2023]
    Nyckelord :3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Sammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER

  7. 5. A Multi-camera based Next Best View Approach for Semantic Scene Understanding

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Anton Persson; [2023]
    Nyckelord :Next Best View; NBV; Semantic Scene Understanding; Robotics;

    Sammanfattning : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. LÄS MER