11. September 2020 aerialsurveybase Ollie

Classification of highly dense 3D point clouds out of LiDAR systems

Full Automation in Mobile LiDAR Data Classification

Classification of highly dense 3D point cloud data acquired from a mobile Lidar system (MLS) is essential in applications like creating high-density maps, autonomous navigation and highway monitoring..

excellent arcticle about automatic classification of MLS/TLS LiDAR data, published by my friend professor Dr. Bharat Lohani in current GIM issue.
He is also founder of Geokno – Indias first private aerial LiDAR company and Indias premier technology leader . (in case you need to map anything of the subcontinent)

abstract:
“ deep learning architecture called MMCN opens up the possibility for fully automated classification of highly dense 3D point cloud data acquired from a mobile Lidar system. This offers interesting opportunities in applications such as high-density maps, autonomous navigation and highway monitoring…. (read more)