Please use this identifier to cite or link to this item:
Título : Conditions for suboptimal filter stability in SLAM
Autor : Vidal-Calleja, Teresa A., Andrade-Cetto, J., Sanfeliu, Alberto
Palabras clave : Automation: Robots
Fecha de publicación : 2004
Editor: Institute of Electrical and Electronics Engineers
Resumen: In this article, we show marginal stability in SLAM, guaranteeing convergence to a non-zero mean state error estimate bounded by a constant value. Moreover, marginal stability guarantees also convergence of the Riccati equation of the one-step ahead state error covariance to at least one psd steady state solution. In the search for real time implementations of SLAM, covariance inflation methods produce a suboptimal filter that eventually may lead to the computation of an unbounded state error covariance. We provide tight constraints in the amount of decorrelation possible, to guarantee convergence of the state error covariance, and at the same time, a linear-time implementation of SLAM.
Descripción : IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004, Sendai (Japón)
ISBN : 0780384636
Citación : IEEE/RSJ International Conference on Intelligent Robots and Systems: 27-32 (2004)
Appears in Collections:(IRII) Comunicaciones congresos

Files in This Item:
File Description SizeFormat 
doc1.pdf382,94 kBAdobe PDFView/Open
Show full item record

Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.