Sökning: "PointNet"

Visar resultat 1 - 5 av 11 uppsatser innehållade ordet PointNet.

  1. 1. Automating the identification of components in 3D models

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

    Författare :Oliver Olofsson; [2024]
    Nyckelord :Part segmentation; Blender; 3D mesh; MeshCNN; PointNet ; DGCNN;

    Sammanfattning : Online house building tools are robust instruments that have transformed the approach to home planning and design. The significance of 3D models on online house building and design platforms lies in their ability to elevate the user experience, enhance design precision, and foster collaboration. LÄS MER

  3. 2. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Kevin Bärudde; Marcus Gandal; [2023]
    Nyckelord :Machine Learning; 3D Anomaly Detection; Feature Extraction; Manufacturing; Computer Vision; Vision Transformer; PointNet;

    Sammanfattning : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. LÄS MER

  4. 3. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Hjalmar Lind; Robin Holtz Bernståle; [2022]
    Nyckelord :Deep Learning; Point Cloud; Segmentation; Classification; Tracking; LiDAR; PointNet; Technology and Engineering;

    Sammanfattning : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. LÄS MER

  5. 4. Radar Detection Using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Ziliang Xiong; Leonardo Carrera; [2022]
    Nyckelord :Deep Learning; Autonomous Driving; Radar; Point Cloud; Technology and Engineering;

    Sammanfattning : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. LÄS MER

  7. 5. Pose classification of people using high resolution radar indoor

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Anton Almqvist; Anton Kuusela; [2022]
    Nyckelord :indoor radar; FMCW radar; point cloud; classification; Machine learning; Deep learning; PointNet; Technology and Engineering;

    Sammanfattning : Video cameras are the primary equipment used for indoor surveillance. There are however areas where alternatives are needed as the use of cameras is sensitive or forbidden, e.g. in homes, bathrooms or dressing rooms. LÄS MER