Ground Profile Recovery from Aerial 3D LiDAR-Based Maps

The paper presents the study and implementation of the ground detection methodology with filtration and removal of forest points from LiDAR-based 3D point cloud using the Cloth Simulation Filtering (CSF) algorithm. The methodology allows to recover a terrestrial relief and create a landscape map of...

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Bibliographic Details
Published inProceedings of the XXth Conference of Open Innovations Association FRUCT pp. 367 - 374
Main Authors Sabirova, Adelya, Rassabin, Maksim, Fedorenko, Roman, Afanasyev, Ilya
Format Conference Proceeding
LanguageEnglish
Published FRUCT 01.04.2019
Subjects
Filtering
Forestry
Laser radar
Software
Solid modeling
Three-dimensional displays
Vegetation
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ISSN2305-7254
DOI10.23919/FRUCT.2019.8711928

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Summary:The paper presents the study and implementation of the ground detection methodology with filtration and removal of forest points from LiDAR-based 3D point cloud using the Cloth Simulation Filtering (CSF) algorithm. The methodology allows to recover a terrestrial relief and create a landscape map of a forestry region. As the proof-of-concept, we provided the outdoor flight experiment, launching a hexacopter under a mixed forestry region with sharp ground changes nearby Innopolis city (Russia), which demonstrated the encouraging results for both ground detection and methodology robustness.
ISSN:2305-7254
DOI:10.23919/FRUCT.2019.8711928