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Segmentace a klasifikace LIDAR dat / Segmentation and classification of LIDAR data

The goal of this work was to design fast and simple methods for processing point-cloud-data of urban areas for virtual reality applications. For the visualization of methods, we developed a simple renderer written in C++ and HLSL. The renderer is based on DirectX 11. For point-cloud processing, we designed a method based on height-histograms for filtering ground points out of point cloud. We also proposed a parallel method for point cloud segmentation based on the region growing algorithm. The individual segments are then tested by simple rules to check if it is or it is not corresponding to a predefined object.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:434961
Date January 2020
CreatorsDušek, Dominik
ContributorsŠorel, Michal, Obdržálek, David
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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