Social Copy: v0.2.2
Suggested attachment:
lidarslam/images/social_autoware_map_authoring.pnglidarslam/images/social_autoware_map_authoring_demo.mp4
Japanese
Short
lidarslam_ros2 v0.2.2 を公開しています。
ROS 2 の non-GPL public path で、Autoware-compatible な
pointcloud_map/ と map_projector_info.yaml を作れる構成です。
RKO-LIO + graph_based_slamNTU VIRALcurrent defaultAPE RMSE 0.952 mMID360current defaultAPE RMSE 3.641 m- Leo Drive
bag6の save-time dynamic filter で saved points を約50%削減
Quickstart:
bash scripts/run_autoware_quickstart.sh
Release:
Medium
lidarslam_ros2 v0.2.2 を公開しています。
この repo は汎用 SLAM の最小構成を目指すより、
Autoware-compatible な pointcloud_map/ を作る workflow を整えることに寄せています。
- non-GPL default path
RKO-LIO + graph_based_slampointcloud_map/とmap_projector_info.yaml- GNSS georeference
- save-time dynamic-object cleanup
- benchmark / report / release-readiness artifacts
Quickstart:
bash scripts/run_autoware_quickstart.sh
Docs:
English
Short
lidarslam_ros2 v0.2.2 is out.
The public path is a non-GPL ROS 2 stack for Autoware-compatible
pointcloud_map/ generation.
RKO-LIO + graph_based_slamNTU VIRALcurrent defaultAPE RMSE 0.952 mMID360current defaultAPE RMSE 3.641 m- Leo Drive
bag6save-time dynamic filtering cuts saved points by about50%
Quickstart:
bash scripts/run_autoware_quickstart.sh
Release:
Alt Text
Promotional card for lidarslam_ros2 v0.2.2 highlighting a non-GPL ROS 2 map
authoring workflow, current benchmark numbers on NTU VIRAL and MID360, GNSS map
metadata support, and save-time dynamic-object cleanup.