3D deep learning on terrestrial LiDAR scanned urban environments for objects monitoring
Large urban agglomerations nowadays are facing some major issues such as economic restrictions, environmental challenges, global and systemic approaches in city management [8]. One of them is to precisely monitor urban objects which can be natural (trees), artificial (traffic lights or poles), static or moving (cars). This is essential to analyze their mutual interaction (for […]
3D deep learning on terrestrial LiDAR scanned urban environments for objects monitoring Read More »
