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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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
Online AccessGet full text
ISSN2305-7254
DOI10.23919/FRUCT.2019.8711928

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Abstract 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.
AbstractList 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.
Author Fedorenko, Roman
Afanasyev, Ilya
Sabirova, Adelya
Rassabin, Maksim
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  organization: Innopolis University, Innopolis, Russia
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  organization: Innopolis University, Innopolis, Russia
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  givenname: Ilya
  surname: Afanasyev
  fullname: Afanasyev, Ilya
  organization: Innopolis University, Innopolis, Russia
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Snippet The paper presents the study and implementation of the ground detection methodology with filtration and removal of forest points from LiDAR-based 3D point...
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StartPage 367
SubjectTerms Filtering
Forestry
Laser radar
Software
Solid modeling
Three-dimensional displays
Vegetation
Title Ground Profile Recovery from Aerial 3D LiDAR-Based Maps
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