19 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Olaf Wysocki, Yan Xia, Magdalena Wysocki +4
Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing challenge. Unlike mesh-based models, they require watertight geometry and object-wise s…
cs.CV2023★ 14 cited
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation
Olaf Wysocki, Ludwig Hoegner, Uwe Stilla
Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various u…
cs.CV2023★ 19 cited
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification
Olaf Wysocki, Eleonora Grilli, Ludwig Hoegner +1
Semantic 3D building models are widely available and used in numerous applications. Such 3D building models display rich semantics but no façade openings, chiefly owing to their ae…