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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Main Authors: Stefan Lang, Michael Kirchhof
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2009/467549
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spelling 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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