LiDAR Spatial Intelligence

LiDAR captures the physical world in dense point clouds that are rich in information but difficult to work with directly. This project built a computer-vision pipeline that turns raw point-cloud data into structured, analysable inputs, so large spatial datasets become something a team can actually reason about.

Using established computer-vision techniques, the workflow processes and interprets spatial features consistently across datasets. That replaces slow, one-off manual inspection with a repeatable path from raw capture to spatial insight.