AmodAshtekar/surface-data: Indoor LiDAR Specularity Dataset for Material Classification

This dataset contains LiDAR scan data from 15 indoor surface materials, collected in the Microwave Laboratory at California State University, Sacramento. Each surface (34 × 18 inches) was scanned for 10 seconds at a 44-inch distance using a Quanergy M8 LiDAR with 3D scanning. The dataset supports research on material classification, mmWave reflection analysis, and reflection prediction using machine learning (ML). Point-cloud intensity data for each material are summarized in Specularities.xlsx. Tools used: QView, CloudCompare, Microsoft Excel, and Python.License: Academic and non-commercial research use only.