Sökning: "Point Cloud Density"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden Point Cloud Density.

  1. 1. Generative adversarial network for point cloud upsampling

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

    Författare :Edison Widell Delgado; [2024]
    Nyckelord :Point cloud upsampling; Generative adversarial network; GAN;

    Sammanfattning : Point clouds are a widely used system for the collection and application of 3D data. But most timesthe data gathered is too scarce to reliably be used in any application. LÄS MER

  3. 2. Evaluation of SLAM based mobile laser scanning and terrestrial laser scanning in the Kiruna mine : A comparison between the Emesent Hovermap HF1 mobile laser scanner and the Faro Laser Scanner Focus3D X 330 terrestrial laser scanner

    Kandidat-uppsats, Högskolan i Gävle/Samhällsbyggnad

    Författare :Claes Gustafsson; [2023]
    Nyckelord :Terrestrial laser scanning; mobile laser scanning; simultaneous localization and mapping; underground mapping; Kiruna mine.;

    Sammanfattning : The mining industry has over the last few decades seen a drastic increase in the usage of laser scanning technologies as a way of creating 3D maps of the mines being exploited. Underground mapping in places such as mines has become more prevalent as the technology has progressed and made it easier to generate highly detailed point clouds faster. LÄS MER

  4. 3. Investigation of above-ground biomass with terrestrial laser scanning : A case study of Valls Hage in Gävle

    Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad

    Författare :Mathias Billenberg; [2023]
    Nyckelord :TLS; tree species; QSM; AGB; volume; wood density; biomass; allometric; point cloud;

    Sammanfattning : The thesis investigates above-ground biomass (AGB) with terrestrial laser scanning (TLS) for estimating AGB in a study area in Valls Hage, Gävle. The study used TLS for field measurements to collect highly detailed point clouds of two tree species for AGB estimation and comparison against validation data. LÄS MER

  5. 4. Clustering on groups for human tracking with 3D LiDAR

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Utterström; [2023]
    Nyckelord :Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

    Sammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER

  7. 5. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Philip Sandström; [2023]
    Nyckelord :;

    Sammanfattning : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. LÄS MER