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 language | English |
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Pages (from-to) | 187-194 |
Number of pages | 8 |
Journal | Journal of Aeronautics, Astronautics and Aviation |
Volume | 45 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2013 Sept |
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Space and Planetary Science