Examining the Eigenvalues Effect to the Computational Cost in Mobile Robot Simultaneous Localization and Mapping
One of the biggest factors that contributes to the computational cost of extended Kalman filter-based simultaneous localization and mapping is the computation of the covariance update. This results from the multiplications of the covariance matrix with other parameters along with the increment of it...
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Elsevier Ltd
2016
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://dx.doi.org/10.1016/j.compeleceng.2016.06.009 http://dx.doi.org/10.1016/j.compeleceng.2016.06.009 http://umpir.ump.edu.my/13963/1/Examining%20the%20Eigenvalues%20Effect%20to%20the%20Computational%20Cost%20In%20Mobile%20Robot%20Simultaneous%20Localization%20and%20Mapping.pdf http://umpir.ump.edu.my/13963/7/fkee-2016-%20Numerical%20Study%20for%20MHD%20Stagnation1.pdf |
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http://dx.doi.org/10.1016/j.compeleceng.2016.06.009http://dx.doi.org/10.1016/j.compeleceng.2016.06.009
http://umpir.ump.edu.my/13963/1/Examining%20the%20Eigenvalues%20Effect%20to%20the%20Computational%20Cost%20In%20Mobile%20Robot%20Simultaneous%20Localization%20and%20Mapping.pdf
http://umpir.ump.edu.my/13963/7/fkee-2016-%20Numerical%20Study%20for%20MHD%20Stagnation1.pdf