2 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset
Yi Wang, Fan Wang, Prabin Gyawali +9
Globally consistent semantic digital twins require centimeter-accurate and geographically transferable 3D facade segmentation. However, progress in facade parsing is limited by the…
TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset
Olaf Wysocki, Benedikt Schwab, Manoj Kumar Biswanath +31
Urban Digital Twins (UDTs) have become essential for managing cities and integrating complex, heterogeneous data from diverse sources. Creating UDTs involves challenges at multiple…
Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images
Wenzhao Tang, Weihang Li, Xiucheng Liang +4
Despite recent advancements in surface reconstruction, Level of Detail (LoD) 3 building reconstruction remains an unresolved challenge. The main issue pertains to the object-orient…
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
Olaf Wysocki, Yue Tan, Thomas Froech +5
Facade semantic segmentation is a long-standing challenge in photogrammetry and computer vision. Although the last decades have witnessed the influx of facade segmentation methods,…
Enriching thermal point clouds of buildings using semantic 3D building models
Jingwei Zhu, Olaf Wysocki, Christoph Holst +1
Thermal point clouds integrate thermal radiation and laser point clouds effectively. However, the semantic information for the interpretation of building thermal point clouds can h…
Analyzing the impact of semantic LoD3 building models on image-based vehicle localization
Antonia Bieringer, Olaf Wysocki, Sebastian Tuttas +2
Numerous navigation applications rely on data from global navigation satellite systems (GNSS), even though their accuracy is compromised in urban areas, posing a significant challe…