Research Article
Improving Processing Time for the Location Algorithm of Robots
Table 2
The performance of improved MSCKF algorithm with No. 2 datasets.
| | Process time (s) | Final error (m) |
| Conventional MSCKF with the data of IMU alone | 58.80 | 2.29 | Conventional MSCKF with the data of IMU and the camera | 58.80 | 3.32 | Fast Gauss–Newton MSCKF with the data of IMU and the camera | 55.30 | 3.52 |
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