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The problem of the 3 sigma bounds #3
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Thanks @Xiarain , this is a good try and I can clearly see the accuracy of R-VIO from the colors in the 1st plot. While, actually it is not surprise to get a result, such as the 3rd plot, on a real dataset. The reasons are as follows: Thus, the 3rd plot is not showing the real performance of consistency of R-VIO, and theoretically the best way to test consistency is to do Monte-Carlo simulation with synthetic zero-mean white Gaussian noise corrupted sensor data. Hope those could help you. |
@huaizheng Anyway, thank you for your detailed answer. |
Hi @huaizheng
Thanks for the awesome work and have a good performance on the Euroc dataset. But when I have the 3 sigma bounds experiment with the R-VIO results and there are some problems in the Euroc V102 dataset. Here are my results.
Figure 3 shows that the consistency of the system is problematic, the covariance of the pose( PKK(3, 3) PKK(4, 4) PKK(5, 5)) is too small.
Thank you in advance.
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