Research Article
Improving Processing Time for the Location Algorithm of Robots
Table 1
The performance of the novel MSCKF algorithm with No.1 datasets.
| | Process time (s) | Final error (m) |
| Conventional MSCKF with the data of IMU alone | 19.02 | 2.32 | Conventional MSCKF with the data of IMU and the camera | 19.02 | 1.01 | Fast Gauss–Newton MSCKF with the data of IMU and the camera | 15.09 | 1.04 |
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