Measurement Uncertainty Analysis of a Robotic Total Station Simulation

被引：0

作者：

Klug, Christoph ^{[1
]}

Arth, Clemens ^{[2
]}

Schmalstieg, Dieter ^{[2
]}

Gloor, Thomas ^{[3
]}

机构：

[1] VRVIS Res Ctr, Vienna, Austria

[2] Graz Univ Technol, Graz, Austria

[3] Hilti Corp, Schaan, Liechtenstein

来源：

IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2018年

关键词：

Simulation; Vision-Based Robots; Virtual Reality Systems;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：2576 / 2582

页数：7

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