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 journalArticlepeer-review

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 Sept

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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