Sökning: "Drones"

Visar resultat 1 - 5 av 294 uppsatser innehållade ordet Drones.

  1. 1. Age-optimal Trajectory Planning for Multiple-UAVAssisted Data Collectio

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :The Chuong Chu; [2024]
    Nyckelord :;

    Sammanfattning : Unmanned Aerial Vehicles (UAVs), or drones, have become a primary tool for data collection due to their rapid and easy mobility, particularly in the current era with a high demand for real-time information updates. To serve this need, optimizing data freshness during information collection is necessary. LÄS MER

  3. 2. Robust Object Recognition and Tracking with Drones

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiaying Wu; [2024]
    Nyckelord :;

    Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

  4. 3. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Johanna Ahlskog; [2024]
    Nyckelord :Unmanned aerial vehicle; human-drone interaction; cognitive workload; trust; search and rescue; drone swarm; situational awareness; multi-drone systems;

    Sammanfattning : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. LÄS MER

  5. 4. 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

  7. 5. Information requirements for future operators of autonomous drones at airports

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Jonathan Källbäcker; [2023]
    Nyckelord :Autonomous drones; airports; cognitive work analysis; thematic analysis; interface requirements; information requirements.;

    Sammanfattning : To gain an understanding about what information requirements there are for future operators of autonomous drone swarms at airport, this study examined how work at airports is structured today, what staff at airports think about the potential implementation of autonomous drones, and what potential interface components that are necessary to be able to control these drones. Interviews and observations were made at five different airports and air traffic control towers with tower and ground staff. LÄS MER