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Ludwig Hoegner

Zaha: Introducing the level of facade generalization and the large-scale point cloud facade semantic segmentation benchmark dataset
Mind the domain gap: Measuring the domain gap between real-world and synthetic point clouds for automated driving development
TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset
Analyzing the impact of semantic LoD3 building models on image-based vehicle localization
Classifying point clouds at the facade-level using geometric features and deep learning networks
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models
Reconstructing facade details using MLS point clouds and Bag-of-Words approach
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Transferring facade labels between point clouds with semantic octrees while considering change detection
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification
Refinement of semantic 3D building models by reconstructing underpasses from MLS point clouds
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation

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