AISPECO and FLAI benchmarked AI point-cloud classification on airborne LiDAR captured with the HELIUX LITE platform and a RIEGL VQ-580 II-S. Four scenes—rural, dense urban, industrial, and powerline corridors—were flown at 540 m and 810 m AGL. Results showed point density and strip geometry strongly influence label quality: higher density improves building/vegetation separation, while lower density challenges small utility features like wires.
