Constrained control of flexible-joint lever arm based on uncertainty estimation with data fusion for correcting measurement errors

Samiei, Seyed Kianoosh; Mirzaei, Mehdi; Rafatnia, Sadra

doi:10.1007/s11071-024-09637-1

Nonlinear Dyn

2024

DOI: 10.1007/s11071-024-09637-1

|View full text |Cite

Constrained control of flexible-joint lever arm based on uncertainty estimation with data fusion for correcting measurement errors

Seyed Kianoosh Samiei,

Mehdi Mirzaei,

Sadra Rafatnia

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Lever arm measurement precision and its impact on exterior orientation parameters in GNSS/IMU integration

Jouybari,

Bagherbandi,

Nilfouroushan

2024

Journal of Geodetic Science

View full text Add to dashboard Cite

Airborne mobile mapping systems are crucial in various geodetic applications. A key aspect of these systems is the accurate estimation of exterior orientation parameters (EOPs), which is achieved through the integration of global navigation satellite systems (GNSSs) and inertial measurement unit (IMU) technologies. One critical component in this integration is the lever arm (LA), the vector that connects the GNSS antenna and the IMU center. The uncertainty (standard deviation) in LA measurements can introduce errors in the EOP estimation, thereby affecting the overall system performance. However, how much the EOP estimation is affected by LA measurement uncertainty is examined in this study based on calibration data (test flight) using the TerrainMapper 2 system collected by Lantmäteriet in Sweden. The findings reveal that LA uncertainties have minimal influence on attitude and negligible impacts on position in terms of standard deviation (SD) if the LA is measured with an accuracy of less than 2–3 cm. Additionally, the research explores the combined effects of virtual reference station-rover baseline length and dilution of precision on positioning accuracy and their correlation with LA uncertainty, providing further insights into the complexities of EOP estimation. By advancing GNSS/IMU integration techniques, this study contributes to the enhancement of geodetic technologies customized for airborne mobile mapping applications.

show abstract

Lever arm measurement precision and its impact on exterior orientation parameters in GNSS/IMU integration

Jouybari,

Bagherbandi,

Nilfouroushan

2024

Journal of Geodetic Science

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Constrained control of flexible-joint lever arm based on uncertainty estimation with data fusion for correcting measurement errors

Cited by 1 publication

References 42 publications

Lever arm measurement precision and its impact on exterior orientation parameters in GNSS/IMU integration

Lever arm measurement precision and its impact on exterior orientation parameters in GNSS/IMU integration

Contact Info

Product

Resources

About