Square root unscented filter based FastSLAM approach for SLAM problem solution
Published: Apr 1, 2013
Abstract
There are different Bayesian based approaches proposed for the solution of simultaneous localization and mapping (SLAM) problem in the literature. In this study, square root unscented Kalman based (Sru)-FastSLAM and square root unscented particle filter based (SruPf) - FastSLAM were proposed for the SLAM problem solution. The first method used Sru - Kalman filter for estimating the robot position, the landmarks location and particle weights. The...
Paper Details
Title
Square root unscented filter based FastSLAM approach for SLAM problem solution
Published Date
Apr 1, 2013
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