ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 209-217, 2016
https://doi.org/10.5194/isprs-annals-III-1-209-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
02 Jun 2016
SATELLITE IMAGERY ASSISTED ROAD-BASED VISUAL NAVIGATION SYSTEM
A. Volkova1 and P. W Gibbens2 1Student Member, IEEE, PhD candidate, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Australia
2Associate Professor, School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Australia
Keywords: Unmanned aerial vehicle (UAV), Navigation, Vision, Accurate road centreline extraction, Feature-based visual navigation, Splines Abstract. There is a growing demand for unmanned aerial systems as autonomous surveillance, exploration and remote sensing solutions. Among the key concerns for robust operation of these systems is the need to reliably navigate the environment without reliance on global navigation satellite system (GNSS). This is of particular concern in Defence circles, but is also a major safety issue for commercial operations. In these circumstances, the aircraft needs to navigate relying only on information from on-board passive sensors such as digital cameras. An autonomous feature-based visual system presented in this work offers a novel integral approach to the modelling and registration of visual features that responds to the specific needs of the navigation system. It detects visual features from Google Earth* build a feature database. The same algorithm then detects features in an on-board cameras video stream. On one level this serves to localise the vehicle relative to the environment using Simultaneous Localisation and Mapping (SLAM). On a second level it correlates them with the database to localise the vehicle with respect to the inertial frame.

The performance of the presented visual navigation system was compared using the satellite imagery from different years. Based on comparison results, an analysis of the effects of seasonal, structural and qualitative changes of the imagery source on the performance of the navigation algorithm is presented.

* The algorithm is independent of the source of satellite imagery and another provider can be used

Conference paper (PDF, 7889 KB)


Citation: Volkova, A. and Gibbens, P. W.: SATELLITE IMAGERY ASSISTED ROAD-BASED VISUAL NAVIGATION SYSTEM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 209-217, https://doi.org/10.5194/isprs-annals-III-1-209-2016, 2016.

BibTeX EndNote Reference Manager XML