| contributor author | Deepak Gautam | |
| contributor author | Arko Lucieer | |
| contributor author | Zbyněk Malenovský | |
| contributor author | Christopher Watson | |
| date accessioned | 2017-12-16T09:24:02Z | |
| date available | 2017-12-16T09:24:02Z | |
| date issued | 2017 | |
| identifier other | %28ASCE%29SU.1943-5428.0000225.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4242458 | |
| description 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-antenna MTi-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 from a 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 SPAN IMU. | |
| publisher | American Society of Civil Engineers | |
| title | Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System | |
| type | Journal Paper | |
| journal volume | 143 | |
| journal issue | 4 | |
| journal title | Journal of Surveying Engineering | |
| identifier doi | 10.1061/(ASCE)SU.1943-5428.0000225 | |
| tree | Journal of Surveying Engineering:;2017:;Volume ( 143 ):;issue: 004 | |
| contenttype | Fulltext | |