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...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Conference or Workshop Item |
| 語言: | English English |
| 出版: |
2014
|
| 主題: | |
| 在線閱讀: | 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/ |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
因特網
http://umpir.ump.edu.my/id/eprint/9786/1/An%20Approach%20to%20Reduce%20Computational%20Cost%20for%20Localization%20Problem.pdfhttp://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/