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Comparison of MEMS-based and FOG-based IMUs to determine sensor pose on an unmanned aircraft system
Citation
Gautam, D and Lucieer, A and Malenovsky, Z and Watson, C, Comparison of MEMS-based and FOG-based IMUs to determine sensor pose on an unmanned aircraft system, Journal of Surveying Engineering, 143, (4) Article 04017009. ISSN 0733-9453 (2017) [Refereed Article]
Copyright Statement
© 2017 ASCE
DOI: doi:10.1061/(ASCE)SU.1943-5428.0000225
Abstract
Small-sized unmanned aircraft systems (UAS) are restricted to use only lightweight microelectromechanical systems (MEMS)- based inertial measurement units (IMUs) due to their limited payload capacity. Still, some UAS-based geospatial remote sensing applications, such as airborne spectroscopy or laser scanning, require high accuracy pose (position and orientation) determination of the onboard sensor payload. This study presents ground-based experiments investigating the pose accuracy of two MEMS-based IMUs: the single-antennaMTi-G-700 (Xsens, Enschede, Netherlands) and the dual-antenna/dual-frequency Spatial Dual IMU (Advanced Navigation, Sydney, Australia)/global navigation satellite system (GNSS).A tightly coupled and postprocessed pose solution froma fiberoptic gyroscope (FOG)-based NovAtel synchronized position attitude navigation (SPAN) IMU (NovAtel, Calgary, Canada) served as a reference to evaluate the performance of the two IMUs under investigation. Results revealed a better position solution for the Spatial Dual, and the MTi-G-700 achieved a better roll/pitch accuracy. Most importantly, the heading solution from the dual-antenna configuration of the Spatial Dual was found to be more stable than the heading obtained with the reference SPANIMU.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | unmanned aircraft systems (UAS), fiberoptic gyroscope (FOG), microelectromechanical systems (MEMS), inertial measurement units (IMUs), global navigation satellite system (GNSS), accuracy, pose |
| Research Division: | Agricultural, Veterinary and Food Sciences |
| Research Group: | Crop and pasture production |
| Research Field: | Crop and pasture biochemistry and physiology |
| Objective Division: | Environmental Management |
| Objective Group: | Terrestrial systems and management |
| Objective Field: | Assessment and management of terrestrial ecosystems |
| UTAS Author: | Gautam, D (Mr Deepak Gautam) |
| UTAS Author: | Lucieer, A (Professor Arko Lucieer) |
| UTAS Author: | Watson, C (Dr Christopher Watson) |
| ID Code: | 117641 |
| Year Published: | 2017 |
| Funding Support: | Australian Research Council (DP140101488) |
| Web of Science® Times Cited: | 11 |
| Deposited By: | Geography and Spatial Science |
| Deposited On: | 2017-06-22 |
| Last Modified: | 2018-05-21 |
| Downloads: | 0 |
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