Computer-implemented automatic annotation of a lidar point cloud

Abstract

Examples are disclosed that relate an approach for automatically annotating a LiDAR point cloud of an airport with classification labels. In one example, a computing device comprises one or more processors configured to execute instructions stored in memory to receive LiDAR data for an airport environment, wherein the LiDAR data includes a LiDAR point cloud including a plurality of points in the airport environment, segment the LiDAR point cloud into a ground region and a non-ground region, automatically cluster, via a trained machine learning model, different points in the non-ground region into a plurality of non-ground segments, automatically annotate, via the trained machine learning model, the plurality of non-ground segments with classification labels selected from an airport domain, and output a panoptic labeled LiDAR point cloud including the plurality of non-ground segments labeled with respective classification labels and the points in the ground region.