Miguel A. Vega Torres

Ogm2Pgbm. Robust BIM-based 2D-LiDAR Localization for Lifelong Indoor Navigation in Changing and Dynamic Environments

SLAM2REF. This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).

BIMCaP. BIM-based AI-supported LiDAR-Camera Pose Refinement

BIM2SemanticPC. Convert BIM models in IFC format to semantically enriched point cloud

PC2VectorizedFloorPlan. Allows the convertion of a semantically enriched point cloud into a vectorized-semantic floor plan.

Map2SessionData. Generate session data to enable rapid place recognition using a 3D point cloud or BIM model.

MappingSystem. 3D Mapping System: An open-source project providing 3D-printable modular parts, sensor initialization scripts, and SLAM system integration for creating versatile 3D mapping solutions for both robots and handheld devices.

awesome-citygml. The ultimate list of open data semantic city models

direct_lidar_inertial_odometry. [IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.