3D Indoor Mapping and BIM Reconstruction Editorial

This Special Issue gathers papers reporting research on various aspects of the use low-cost photogrammetric and lidar sensors for indoor building reconstruction. It includes contributions presenting improvements in alignment mobile mapping systems with without a prior 3D BIM model, interpretation both imagery data scenery finally reconstruction enrichment existing point clouds meshes information. Concretely, publications showcase methods experiments Reconstruction Indoor Navigation Elements Point Cloud Buildings Occlusions Openings by Wall Segment Restoration from Context Labeling, Two-Step Alignment Mixed Reality Devices to Existing Building Data, Pose Normalization Mapping Datasets Partially Compliant Manhattan World Assumption, A Robust Rigid Registration Framework Scene Clouds Based RGB-D Information, Semantic Augmentation Instance Segmentation 360° Panoramas Deep Learning Techniques Symmetry-Based Coarse Smartphone’s Colorful CAD Drawings (RegARD) Low-Cost Digital Twin Buildings.