BIMCaP refines camera and LiDAR poses by aligning semantically segmented indoor measurements with a BIM via bundle adjustment, reducing translational error by 4 cm in one synthetic-drift experiment on the ConSLAM dataset.
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BIMCaP: BIM-based AI-supported LiDAR-Camera Pose Refinement
BIMCaP refines camera and LiDAR poses by aligning semantically segmented indoor measurements with a BIM via bundle adjustment, reducing translational error by 4 cm in one synthetic-drift experiment on the ConSLAM dataset.