Teuliere15a
C. Teuliere, E. Marchand, L. Eck. 3D model-based tracking for UAV localisation. IEEE Trans. on Cybernetics, 45(5):869-879, May 2015.
Download [help]
Download paper:
Doi page 
Download Hal paper:
Download paper:
Adobe portable document (pdf) 
Copyright notice:
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow
Abstract
This paper proposes a novel model-based tracking approach for 3-D localization. One main difficulty of standard model-based approach lies in the presence of low-level ambiguities between different edges. In this paper, given a 3-D model of the edges of the environment, we derive a multiple hypotheses tracker which retrieves the potential poses of the camera from the observations in the image. We also show how these candidate poses can be integrated into a particle filtering framework to guide the particle set toward the peaks of the distribution. Motivated by the UAV indoor localization problem where GPS signal is not available, we validate the algorithm on real image sequences from UAV flights
Contact
BibTex Reference
@article{Teuliere15a,
Author = {Teuliere, C. and Marchand, E. and Eck, L.},
Title = {3D model-based tracking for UAV localisation},
Journal = {IEEE Trans. on Cybernetics},
Volume = {45},
Number = {5},
Pages = {869--879},
Month = {May},
Year = {2015}
}
EndNote Reference [help]
Get EndNote Reference (.ref)