Automatic Evaluation of Landmarks for Image-Based Navigation Update
The successful mission of an autonomous airborne system like an unmanned aerial vehicle (UAV) strongly depends on its accurate navigation. While GPS is not always available and pose estimation based solely on Inertial Measurement Unit (IMU) drifts, image-based navigation may become a cheap and robus...
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2009-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2009/467549 |
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doaj-b42bea45a0d04defbeb49f7f56b17c8e2020-11-25T01:55:47ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802009-01-01200910.1155/2009/467549Automatic Evaluation of Landmarks for Image-Based Navigation UpdateStefan LangMichael KirchhofThe successful mission of an autonomous airborne system like an unmanned aerial vehicle (UAV) strongly depends on its accurate navigation. While GPS is not always available and pose estimation based solely on Inertial Measurement Unit (IMU) drifts, image-based navigation may become a cheap and robust additional pose measurement device. For the actual navigation update a landmark-based approach is used. It is essential that the used landmarks are well chosen. Therefore we introduce an approach for evaluating landmarks in terms of the matching distance, which is the maximum misplacement in the position of the landmark that can be corrected. We validate the evaluations with our 3D reconstruction system working on data captured from a helicopter. http://dx.doi.org/10.1155/2009/467549 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stefan Lang Michael Kirchhof |
spellingShingle |
Stefan Lang Michael Kirchhof Automatic Evaluation of Landmarks for Image-Based Navigation Update EURASIP Journal on Advances in Signal Processing |
author_facet |
Stefan Lang Michael Kirchhof |
author_sort |
Stefan Lang |
title |
Automatic Evaluation of Landmarks for Image-Based Navigation Update |
title_short |
Automatic Evaluation of Landmarks for Image-Based Navigation Update |
title_full |
Automatic Evaluation of Landmarks for Image-Based Navigation Update |
title_fullStr |
Automatic Evaluation of Landmarks for Image-Based Navigation Update |
title_full_unstemmed |
Automatic Evaluation of Landmarks for Image-Based Navigation Update |
title_sort |
automatic evaluation of landmarks for image-based navigation update |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2009-01-01 |
description |
The successful mission of an autonomous airborne system like an unmanned aerial vehicle (UAV) strongly depends on its accurate navigation. While GPS is not always available and pose estimation based solely on Inertial Measurement Unit (IMU) drifts, image-based navigation may become a cheap and robust additional pose measurement device. For the actual navigation update a landmark-based approach is used. It is essential that the used landmarks are well chosen. Therefore we introduce an approach for evaluating landmarks in terms of the matching distance, which is the maximum misplacement in the position of the landmark that can be corrected. We validate the evaluations with our 3D reconstruction system working on data captured from a helicopter. |
url |
http://dx.doi.org/10.1155/2009/467549 |
work_keys_str_mv |
AT stefanlang automaticevaluationoflandmarksforimagebasednavigationupdate AT michaelkirchhof automaticevaluationoflandmarksforimagebasednavigationupdate |
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1724983470807056384 |