Edelhäußer T, Janak M, Kókai G (2010)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2010
Publisher: IEEE
Edited Volumes: 2010 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2010
Pages Range: 289-296
Conference Proceedings Title: Proceedings of the Conference on Adaptive Hardware and Systems (AHS 2010)
Event location: Anaheim,CA, USA
ISBN: 978-1-4244-5887-5
URI: http://www2.informatik.uni-erlangen.de/publication/download/AHS2010.pdf
We present a novel approach for selecting measurement points online to determine the pose (position and orientation) of an Real-Time Location System's (RTLS) receiving element. In combination with the RANdom Sample And Consensus (RANSAC) algorithm, we generate a selection of measurement points excluding bad measurements to get the right estimation of the pose. The proposed algorithm considers obstacles and boundaries, which are previously unknown. On the basis of an Angle of Arrival (AoA) system, we demonstrate the applicability and accuracy gain of our algorithm in simulation and real experiment. © 2010 IEEE.
APA:
Edelhäußer, T., Janak, M., & Kókai, G. (2010). Environment-Based Measurement Planning for Autonomous RTLS Configuration. In Proceedings of the Conference on Adaptive Hardware and Systems (AHS 2010) (pp. 289-296). Anaheim,CA, USA, US: IEEE.
MLA:
Edelhäußer, Thorsten, Mateusz Janak, and Gabriella Kókai. "Environment-Based Measurement Planning for Autonomous RTLS Configuration." Proceedings of the 2010 NASA/ESA Conference on Conference on Adaptive Hardware and Systems (AHS 2010), Anaheim,CA, USA IEEE, 2010. 289-296.
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