Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas

Felipe A. Pinagé, José Reginaldo H. Cavalho, José P. Queiroz Neto

Abstract

Field application of unmanned aerials vehicles (UAVs) have increased in the last decade. An example of difficult task is long endurance missions over rain forest, due to the uniform pattern of the ground. In this scenario an embedded vision system plays a critical role. This paper presents a SIFT adaptation towards a vision system able to track landmarks in forest areas, using wavelet transform to suppression of nonrelevant features, in order to support UASs navigation. Preliminary results demonstrated that this method can correctly track a sequence of natural landmarks in a feasible time for online applications.

References

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Paper Citation


in Harvard Style

Pinagé F., Cavalho J. and Neto J. (2013). Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 416-419. DOI: 10.5220/0004304304160419


in Bibtex Style

@conference{visapp13,
author={Felipe A. Pinagé and José Reginaldo H. Cavalho and José P. Queiroz Neto},
title={Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={416-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004304304160419},
isbn={978-989-8565-48-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas
SN - 978-989-8565-48-8
AU - Pinagé F.
AU - Cavalho J.
AU - Neto J.
PY - 2013
SP - 416
EP - 419
DO - 10.5220/0004304304160419