Uncertainty and quality of multi-sensor systems.

The Journal of Applied Geodesy published a collection of four papers on the topic of uncertainty and quality of multi-sensor systems. The first paper discusses improving the approximation quality of Terrestrial Laser Scanning (TLS) point clouds using B-spline surfaces. The second paper focuses on developing GPS time-based reference trajectories for quality assessment of multi-sensor systems. The third paper investigates systematic deviations in TLS distance measurements and proposes a calibration approach using a deep learning model. The fourth paper evaluates the accuracy of trajectories of kinematic multi-sensor systems, specifically focusing on low-cost LiDARs. These papers provide valuable insights into the challenges and advancements in multi-sensor systems in geodesy and surveying. [Extracted from the article]