Sökning: "monocular slam"

Visar resultat 11 - 15 av 29 uppsatser innehållade orden monocular slam.

  1. 11. Data association for object-based SLAM

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

    Författare :Kamil Kaminski; [2021]
    Nyckelord :;

    Sammanfattning : The thesis tackles the problem of data association for monocular object-based SLAM, which gets often omitted in related works. A method for estimatingellipsoid object landmark representations is implemented. LÄS MER

  3. 12. Evaluation of Monocular Visual SLAM Methods on UAV Imagery to Reconstruct 3D Terrain

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

    Författare :Fredrik Johansson; Samuel Svensson; [2021]
    Nyckelord :Computer vision; Simultaneous Localization and Mapping; SLAM; Visual SLAM; V-SLAM; Monocular; UAV; Drone mapping; D reconstruction of terrain; Point cloud;

    Sammanfattning : When reconstructing the Earth in 3D, the imagery can come from various mediums, including satellites, planes, and drones. One significant benefit of utilizing drones in combination with a Visual Simultaneous Localization and Mapping (V-SLAM) system is that specific areas of the world can be accurately mapped in real-time at a low cost. LÄS MER

  4. 13. Data association for object-based SLAM

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

    Författare :Kamil Kaminski; [2020]
    Nyckelord :;

    Sammanfattning : The thesis tackles the problem of data association for monocular object-basedSLAM, which gets often omitted in related works. A method for estimating ellipsoid object landmark representations is implemented. LÄS MER

  5. 14. Toward localization and mapping with heterogeneous depth sensors

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

    Författare :Paula Carbó Cubero; [2020]
    Nyckelord :;

    Sammanfattning : Heterogeneous collaborative Simultaneous Localization and Mapping (SLAM) can be defined as the solution to the SLAM problem that can handle different devices with different sensors, such as a monocular camera and a 3D LiDAR sensor, building a map and performing localization all at the same time. Research regarding this field is still at a very early stage, and it is hard to find solutions to the data association problem for these different types of sensor outputs. LÄS MER

  7. 15. Global localization of nano drone in an indoor environment

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sofie Olsson; [2020]
    Nyckelord :Global localization; Crazyflie; indoor navigation; SLAM; point cloud map; monocular camera; drone; computer vision; Technology and Engineering;

    Sammanfattning : For a drone to be able to navigate in an indoor environment, it needs to understand its surroundings and locate itself to be able to plan a trajectory to its final destination. This thesis aims to solve the global localization problem, i.e. LÄS MER