An Approach to Reduce Computational Cost for Localization Problem

One of the biggest factors that contribute to the computational cost of extended Kalman filter-based SLAM is the covariance update. This is due to the multiplications of the covariance matrix with other parameters and the increment of its dimension, which is twice the number of landmarks. Therefore...

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Bibliographic Details
Main Authors: Nur Aqilah, Othman, Hamzah, Ahmad
Format: Conference or Workshop Item
Language:English
English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/9786/1/An%20Approach%20to%20Reduce%20Computational%20Cost%20for%20Localization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/9786/7/An%20Approach%20to%20Reduce%20Computational%20Cost%20for%20Localization%20Problem%20-%20Abstract.pdf
http://umpir.ump.edu.my/id/eprint/9786/
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