3 papers
cs.CV2026
L2M-Reg: Building-level Uncertainty-aware Registration of Outdoor LiDAR Point Clouds and Semantic 3D City Models
Ziyang Xu, Benedikt Schwab, Yihui Yang +2
Accurate registration between LiDAR (Light Detection and Ranging) point clouds and semantic 3D city models is a fundamental topic in urban digital twinning and a prerequisite for d…
cs.CV2025
From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground Truth
Ziyang Xu, Olaf Wysocki, Christoph Holst
Evaluating uncertainty is critical for reliable use of Mobile Laser Scanning (MLS) point clouds in many high-precision applications such as Scan-to-BIM, deformation analysis, and 3…
cs.CV2025
Point-level Uncertainty Evaluation of Mobile Laser Scanning Point Clouds
Ziyang Xu, Olaf Wysocki, Christoph Holst
Reliable quantification of uncertainty in Mobile Laser Scanning (MLS) point clouds is essential for ensuring the accuracy and credibility of downstream applications such as 3D mapp…