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    Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System

    Source: Journal of Surveying Engineering:;2017:;Volume ( 143 ):;issue: 004
    Author:
    Deepak Gautam
    ,
    Arko Lucieer
    ,
    Zbyněk Malenovský
    ,
    Christopher Watson
    DOI: 10.1061/(ASCE)SU.1943-5428.0000225
    Publisher: American Society of Civil Engineers
    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.
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      Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4242458
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    contributor authorDeepak Gautam
    contributor authorArko Lucieer
    contributor authorZbyněk Malenovský
    contributor authorChristopher Watson
    date accessioned2017-12-16T09:24:02Z
    date available2017-12-16T09:24:02Z
    date issued2017
    identifier other%28ASCE%29SU.1943-5428.0000225.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242458
    description abstractSmall-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.
    publisherAmerican Society of Civil Engineers
    titleComparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System
    typeJournal Paper
    journal volume143
    journal issue4
    journal titleJournal of Surveying Engineering
    identifier doi10.1061/(ASCE)SU.1943-5428.0000225
    treeJournal of Surveying Engineering:;2017:;Volume ( 143 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian