Gašper Štebe (Author), Peter Krapež (Author), Janez Podobnik (Author), Dušan Kogoj (Author)

Abstract

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.

Keywords

low-cost;low-cost IMU;IMU calibration;3D trajectory;tracking;kinematic measurements;zero phase;filter Kalman;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
UDC: 528
COBISS: 59228675 Link will open in a new window
ISSN: 0263-2241
Views: 344
Downloads: 69
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Type (COBISS): Article
Pages: str. 1-16
Issue: ǂVol. ǂ176
Chronology: maj 2021
DOI: 10.1016/j.measurement.2021.109207
ID: 12963091