A novel FastSLAM algorithm based on Iterated Unscented Kalman Filter

Published: Dec 1, 2011
Abstract
In this paper, we propose a novel FastSLAM algorithm (named as IUFastSLAM) which is based on Rao-Blackwellized Particle Filter (RBPF) framework and uses Iterated Unscented Kalman Filter (IUKF) to estimate the landmark locations. Iterated Unscented Kalman Filter (IUKF) can improve estimation accuracy over the Extend Kalman Filter and Unscented Kalman Filter. The experimental results show that the proposed algorithm has a superior performance in...
Paper Details
Title
A novel FastSLAM algorithm based on Iterated Unscented Kalman Filter
Published Date
Dec 1, 2011
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