JOURNAL ARTICLE

Inertial Navigation System aiding using vision

Abstract

The aiding of an INS using measurements over time of the line of sight of ground features as they come into view of an onboard camera is investigated. The objective is to quantify the reduction in the navigation states' errors by using bearings-only measurements over time of terrain features in the aircraft's field of view. INS aiding is achieved through the use of a special Kalman Filter designed for Simultaneous Localization and Mapping (SLAM). The design of the SLAM Kalman Filter is presented and it is shown that during a long range, wings level cruising flight at constant velocity and altitude, a significant reduction in the aided INS-calculated navigation state errors compared to a free INS, is possible. 1

Keywords:
Kalman filter Inertial navigation system Computer vision Computer science Artificial intelligence Simultaneous localization and mapping Terrain Reduction (mathematics) Inertial measurement unit Extended Kalman filter Line-of-sight Dilution of precision Navigation system Remote sensing Inertial frame of reference Global Positioning System Engineering Aerospace engineering Mobile robot Robot Geography Mathematics Physics

Metrics

3
Cited By
1.25
FWCI (Field Weighted Citation Impact)
5
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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