An Analysis of -based Localization
Instead of using the well-known Kalman filter (H filter), filter which is also known as minimax filter, can be used to estimate robot location as part of can affects the filter performance, the variation of its selection are demonstrated to grasp the overview of the estimation performance. The an...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9778/ http://umpir.ump.edu.my/id/eprint/9778/1/An%20Analysis%20of%20%CE%B3%20Effects%20to%20H%E2%88%9E%20Filter-based%20Localization.pdf |
| Summary: | Instead of using the well-known Kalman filter (H filter), filter which is also known as minimax filter, can be used to estimate robot location as part of can affects the filter performance, the variation of its selection are demonstrated to grasp the overview of the estimation performance. The analysis is divided into two categories; non-moving mobile robot and moving robot for different values of comparison of the performance between filter and Kalman filter is included to differentiate the capabilities of both filters in the localization problem. Simulation results show that, filter exhibits better outcomes than the Kalman filter and thus provides another available methods for the solution of SLAM problem. |
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