DocumentCode :
3470157
Title :
On the linear and nonlinear observability analysis of the SLAM problem
Author :
Perera, L.D.L. ; Melkumyan, A. ; Nettleton, E.
Author_Institution :
Australian Centre for Field Robot., Univ. of Sydney, Sydney, NSW
fYear :
2009
fDate :
14-17 April 2009
Firstpage :
1
Lastpage :
6
Abstract :
Research in simultaneous localization and mapping (SLAM) has been progressing for almost two decades. Although several researchers attempted recently to investigate its observability (mostly without proofs for the general cases) the established facts have often been left unnoticed or ignored by the research community. In this paper rigorous proofs have been provided as an enlightenment for the observability properties of the general two dimensional SLAM problem incorporating a car like kinematic model in the context of piece-wise constant systems theory and non-linear Lie derivative theory. Observable and unobservable states of the general n landmark SLAM problem have been established with proofs. A comparison of linear and non-linear techniques to evaluate the observability of SLAM is provided using simulations.
Keywords :
SLAM (robots); mobile robots; nonlinear control systems; observability; piecewise constant techniques; SLAM problem; car like kinematic model; linear observability analysis; nonlinear Lie derivative theory; nonlinear observability analysis; piecewise constant systems theory; simultaneous localization and mapping; Australia; Filters; Global Positioning System; Kinematics; Mechatronics; Observability; Robots; Sensor phenomena and characterization; Simultaneous localization and mapping; Vehicles; SLAM; observability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics, 2009. ICM 2009. IEEE International Conference on
Conference_Location :
Malaga
Print_ISBN :
978-1-4244-4194-5
Electronic_ISBN :
978-1-4244-4195-2
Type :
conf
DOI :
10.1109/ICMECH.2009.4957168
Filename :
4957168
Link To Document :
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