Ground Profile Recovery from Aerial 3D LiDAR-based Maps

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 ?ight 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.

Keywords

• Ground Detection
• Cloth Simulation Filtering
• 3D LiDAR Mapping
• Airborne Laser Scanning
• Digital Terrain Model
• Unmanned Aerial Vehicle