Real-time INS/GPS integration with optimal on-line smoothing for mobile mapping systems utilizing a low cost MEMS IMU

Thanh Trung Duong, Kai-Wei Chiang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

For mobile mapping system, the integration' of inertial navigation system (INS) and global positioning system (GPS) is widely applied as the main component of the direct geo-referencing system to determine position and orientation. For real-time applications, Kalman filter is often used as the main estimator for data fusion and backward smoothing is considered an optimal post-processing procedure. This study apply smoothing algorithm in a real-time INS/GPS integrated system to on-line update smoothed states at near real-time rate. To verify the effectiveness of the proposed method, field tests with different testing scenarios are implemented in comparison with reliable reference data.

Original languageEnglish
Pages (from-to)187-194
Number of pages8
JournalJournal of Aeronautics, Astronautics and Aviation
Volume45
Issue number3
DOIs
Publication statusPublished - 2013 Jan 1

Fingerprint

inertial navigation
systems integration
Inertial navigation systems
Global Positioning System
smoothing
microelectromechanical systems
MEMS
navigation
Global positioning system
GPS
Data fusion
cost
Kalman filters
Costs
field method
multisensor fusion
field tests
Kalman filter
estimators
Testing

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

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