lidarslam_ros2

Default workflow uses BSD-2-Clause and MIT-licensed components like graph_based_slam and RKO-LIO, avoiding GPL dependencies for commercial or proprietary projects.

Generates pointcloud maps and map_projector_info.yaml files that Autoware can load and verify, as demonstrated in the quickstart with PASS verification results.

Save-time filtering removes likely dynamic objects (e.g., cutting saved points by 50% on Leo Drive bag6) while maintaining map verification PASS, improving map cleanliness without affecting live odometry.

Includes tracked benchmarks on datasets like NTU VIRAL and MID360 with automated report generation, ensuring reproducibility and performance validation for map authoring.