Sökning: "point cloud segmentation"

Visar resultat 16 - 20 av 34 uppsatser innehållade orden point cloud segmentation.

  1. 16. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks

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

    Författare :Jacob Stuart; [2022]
    Nyckelord :;

    Sammanfattning : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. LÄS MER

  3. 17. Segmentation on point cloud data through a difference of normals approach combined with a statistical filter

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Elof Fahlstedt; [2022]
    Nyckelord :Segmentation; Point cloud data;

    Sammanfattning : This study investigates how a statistical filter affects the quality of point cloud segmentation using a Difference of Normals (DoN) multiscale segmentation approach. A system of DoN segmentation combined with a statistical filter was implemented with the help of an open-source Point Cloud Library (PCL) and evaluated on a publicly available dataset containing large point clouds with labeled ground truth objects. LÄS MER

  4. 18. Point Cloud Data Augmentation for 4D Panoptic Segmentation

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

    Författare :Wangkang Jin; [2022]
    Nyckelord :Point Cloud; Data Augmentation; 4D panoptic segmentation; Deep Learning; 3D Perception; Autonomous Driving; Punktmoln; Dataökning; 4D panoptisk segmentering; Djup lärning; 3D Perception; 3D Uppfattning; Autonom körning;

    Sammanfattning : 4D panoptic segmentation is an emerging topic in the field of autonomous driving, which jointly tackles 3D semantic segmentation, 3D instance segmentation, and 3D multi-object tracking based on point cloud data. However, the difficulty of collection limits the size of existing point cloud datasets. LÄS MER

  5. 19. Real Time Lidar and ICP-Based Odometry in Dynamic Environments

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Carl Hampus Hedén; Ludvig Hansson Granström; [2022]
    Nyckelord :ICP; Localization;

    Sammanfattning : A robust and highly accurate positioning system is required to transition to fully autonomous vehicles in society.  This thesis investigates the potential for lidar sensors to be a part of a localization system, adding redundancy in case of an outage in a global navigation satellite system GNSS. LÄS MER

  7. 20. 3D Instance Segmentation of Cluttered Scenes : A Comparative Study of 3D Data Representations

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Albin Konradsson; Gustav Bohman; [2021]
    Nyckelord :Deep Learning; Computer Vision; Point Cloud; Depth Map; 3D; Instance Segmentation; Cluttered Scenes;

    Sammanfattning : This thesis provides a comparison between instance segmentation methods using point clouds and depth images. Specifically, their performance on cluttered scenes of irregular objects in an industrial environment is investigated. Recent work by Wang et al. LÄS MER