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A Visual Navigation System for Uas Based on Geo-referenced Imagery
| Content Provider | Semantic Scholar |
|---|---|
| Author | Conte, Gianpaolo Doherty, Patrick |
| Copyright Year | 2011 |
| Abstract | This article presents an approach to the terrain-aided navigation problem suitable for unmanned aerial vehicles flying at low altitude. The problem of estimating the state parameters of a flying vehicle is addressed in the particular situation where the GPS information is unavailable or unreliable due to jamming situations for instance. The proposed state estimation approach fuses information from inertial and image sensors. Absolute localization is obtained through image-to-map registration. For this purpose, 2D satellite images are used. The algorithms presented are implemented and tested on-board an industrial unmanned helicopter. Flight-test results will be presented. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ida.liu.se/divisions/aiics/publications/ISPRS-2011-Visual-Navigation-System.pdf |
| Alternate Webpage(s) | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-1-C22/101/2011/isprsarchives-XXXVIII-1-C22-101-2011.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Aerial photography Algorithm Area striata structure Backup Drug vehicle Estimated Global Positioning System Gray Platelet Syndrome Guided imagery Image sensor Machine vision Motion planning Navigation On-board data handling Radio jamming Unmanned aerial vehicle Visual odometry sensor (device) |
| Content Type | Text |
| Resource Type | Article |
