A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY
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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2012-09-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-1-C22/101/2011/isprsarchives-XXXVIII-1-C22-101-2011.pdf |
id |
doaj-ba2c412dd8fc420b9005434b97b4afc7 |
---|---|
record_format |
Article |
spelling |
doaj-ba2c412dd8fc420b9005434b97b4afc72020-11-25T00:39:18ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-09-01XXXVIII-1/C2210110610.5194/isprsarchives-XXXVIII-1-C22-101-2011A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERYG. Conte0P. Doherty1Artificial Intelligence and Integrated Computer System Division Linköping University SE-581 83 Linköping, SwedenArtificial Intelligence and Integrated Computer System Division Linköping University SE-581 83 Linköping, SwedenThis 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-1-C22/101/2011/isprsarchives-XXXVIII-1-C22-101-2011.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
G. Conte P. Doherty |
spellingShingle |
G. Conte P. Doherty A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
G. Conte P. Doherty |
author_sort |
G. Conte |
title |
A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY |
title_short |
A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY |
title_full |
A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY |
title_fullStr |
A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY |
title_full_unstemmed |
A VISUAL NAVIGATION SYSTEM FOR UAS BASED ON GEO-REFERENCED IMAGERY |
title_sort |
visual navigation system for uas based on geo-referenced imagery |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2012-09-01 |
description |
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. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-1-C22/101/2011/isprsarchives-XXXVIII-1-C22-101-2011.pdf |
work_keys_str_mv |
AT gconte avisualnavigationsystemforuasbasedongeoreferencedimagery AT pdoherty avisualnavigationsystemforuasbasedongeoreferencedimagery AT gconte visualnavigationsystemforuasbasedongeoreferencedimagery AT pdoherty visualnavigationsystemforuasbasedongeoreferencedimagery |
_version_ |
1725293921707229184 |