UniLGL has been deployed on diverse platforms, including full-size trucks and agile MAVs, to enable high-precision localization and mapping as well as multi-MAV collaborative exploration in port and forest environments, demonstrating the applicability of UniLGL in industrial and field scenarios.
The code will be released soon. In addition, we will open-source a complete LiDAR-only SLAM system by integrating UniLGL with CTE-MLO, which will be merged into the CTE-MLO repository.