Measurement Uncertainty Analysis of a Robotic Total Station Simulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
LanguageEnglish
Title of host publicationProc. IEEE Industrial Electronics Conference (IECON)
StatusPublished - 2018

Fingerprint

Uncertainty analysis
Robotics
Computer hardware
Software engineering
Actuators
Geometry
Sensors
Experiments
Uncertainty

Cite this

Klug, C. H., Arth, C., Schmalstieg, D., & Gloor, T. (2018). Measurement Uncertainty Analysis of a Robotic Total Station Simulation. In Proc. IEEE Industrial Electronics Conference (IECON)

Measurement Uncertainty Analysis of a Robotic Total Station Simulation. / Klug, Christoph Hubert; Arth, Clemens; Schmalstieg, Dieter; Gloor, Thomas.

Proc. IEEE Industrial Electronics Conference (IECON). 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Klug, CH, Arth, C, Schmalstieg, D & Gloor, T 2018, Measurement Uncertainty Analysis of a Robotic Total Station Simulation. in Proc. IEEE Industrial Electronics Conference (IECON).
Klug CH, Arth C, Schmalstieg D, Gloor T. Measurement Uncertainty Analysis of a Robotic Total Station Simulation. In Proc. IEEE Industrial Electronics Conference (IECON). 2018.
@inproceedings{b0b856cef4404507af94c7cf45dadb0b,
title = "Measurement Uncertainty Analysis of a Robotic Total Station Simulation",
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",
author = "Klug, {Christoph Hubert} and Clemens Arth and Dieter Schmalstieg and Thomas Gloor",
year = "2018",
language = "English",
booktitle = "Proc. IEEE Industrial Electronics Conference (IECON)",

}

TY - GEN

T1 - Measurement Uncertainty Analysis of a Robotic Total Station Simulation

AU - Klug,Christoph Hubert

AU - Arth,Clemens

AU - Schmalstieg,Dieter

AU - Gloor,Thomas

PY - 2018

Y1 - 2018

N2 - 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

AB - 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

M3 - Conference contribution

BT - Proc. IEEE Industrial Electronics Conference (IECON)

ER -