@inproceedings{PB-VRVis-2018-041,
author = {Klug, Christoph and Arth, Clemens and Schmalstieg, Dieter and Gloor, Thomas},
title = {Measurement Uncertainty Analysis of a Robotic Total Station Simulation},
year = {2018},
booktitle = {IECON Proc. (Industrial Electron. Conf.)},
editor = {N.N.},
url = {https://www.vrvis.at/publications/PB-VRVis-2018-041},
abstract = {Abstract: The design of interactive algorithms  for robotic total stations often requires hardware-in-the-loop  setups during software development and verification. The use of  real-time simulation setups can reduce the development and test  effort significantly. However, the analysis of the simulation  uncertainty is crucial for proper design of simulation setups  and for the interpretation of simulation results. In this paper,  we present a real-time simulation method for modern robotic  total stations. We provide details for an exemplary robotic  total station including models of geometry, actuators and  sensors. The simulation uncertainty was estimated analytically  and verified by Monte Carlo experiments.},
}