AI RESEARCH
Confidence-Driven Facade Refinement of 3D Building Models Using MLS Point Clouds
arXiv CS.CV
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ArXi:2604.03797v1 Announce Type: new Digital twins require continuous maintenance to meet the increasing demand for high-precision geospatial data. However, traditional coarse CityGML building models, typically derived from Airborne Laser Scanning (ALS), often exhibit significant geometric deficiencies, particularly regarding facade accuracy due to the nadir perspective of airborne sensors. Integrating these coarse models with high-precision Mobile Laser Scanning (MLS) data is essential to recover detailed facade geometry.