Trajectory tracking of an oscillating movement with a low-cost IMU in geodetic surveying applications

•Robotic Total Station (RTS) can be used for IMU calibration.•Low-cost IMU can be used for 3D tracking of an oscillating object.•The Zero-phase filter successfully eliminates the drift of the low-cost IMU.•Low-cost IMU significantly improves the RTS kinematic tracking measurement system. In this pap...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2021-05, Vol.176, p.109207, Article 109207
Hauptverfasser: Štebe, Gašper, Krapež, Peter, Podobnik, Janez, Kogoj, Dušan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Robotic Total Station (RTS) can be used for IMU calibration.•Low-cost IMU can be used for 3D tracking of an oscillating object.•The Zero-phase filter successfully eliminates the drift of the low-cost IMU.•Low-cost IMU significantly improves the RTS kinematic tracking measurement system. In this paper, we design a method to use a low-cost IMU (Inertial Measurement Unit) sensor for the absolute positioning of an oscillating object and for improvement of the kinematic RTS (Robotic Total Station) high-precision trajectory tracking accuracy. Typically when using standard methods for position estimation based on IMU measurements, a drift of several hundred meters occurres after only 1 min of operation. When processing IMU measurements with our proposed method, which is based on the Zero-Phase filter (ZPF), the accuracy of the oscillating object’s position improved to a few centimeters. We used our method to improve the RTS trajectory tracking system. By combining low-cost IMU and RTS measurements, we were able to obtain highly accurate trajectory at a frequency of IMU measurements. We improved the accuracy of the trajectory tracking compared to linear interpolation between measured RTS samples by 40% and the SNR (Signal-to-Noise Ratio) was more than three times higher.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2021.109207