Research Article
A Bioinspired Neural Model Based Extended Kalman Filter for Robot SLAM
Table 3
The root mean square error of the SLAM task in the second experiment.
| The algorithms for the SLAM task | The root mean square error | | | Angle/rad |
| The S-EKF based method | 0.4064 | 0.3922 | 0.0921 | The F-EKF based method | 0.3083 | 0.3316 | 0.0496 | The B-EKF based method | 0.1132 | 0.0918 | 0.0204 |
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