-
Notifications
You must be signed in to change notification settings - Fork 79
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
problem about the urban30.bag dataset result #48
Comments
Hi, I think you have misunderstood the meaning. The author said in the paper the ATE is per 1km, not entire trajectory. Hope this can help you. |
|
Yes, I also notice that the Ground Truth is keep changing in Rviz. But if you draw the estimated result and ground truth, it is right. To draw the trajectory result, there are plenty of toolboxes you can use, like Openvins tools, EVO evaluate toolboxes. |
I'm sorry, I can't understand what you said: "But if you draw the estimated result and ground truth, it is right." What does it mean? Do you mean that you do not need to care about this phenomenon, and still record their corresponding topic data for comparison? I am curious why the truth value is changing, is it some provisions made in the source code, thank you |
Sorry for the confusion. Yes, you can ignore this issue as it’s just a display bug. I suspect the root cause is a third-party library in Ov_eva. Recently, I’ve been working on resolving this problem. However, since I’ve been busy with other tasks, I’m not sure when I’ll be able to identify and fix the bug. |
Thank you for your answer. As you record the content of the truth topic, you will find that the previous position results are constantly updated. Have you noticed this phenomenon? The result of truth value is constantly updated and changed, so can we still use the truth value recorded by this topic to evaluate, or are you directly using the truth value file provided by the author |
Hello author, I conducted experiments using the publicly available dataset urban30.txt and recorded the results of the true and estimated values, which are path_data.txt path_data2.txt. I evaluated them using evo_ape tum path_data.txt path_data2.txt - a-p - s. The results are as follows:
But I found that the RMSE index is 9.25, which cannot achieve the accuracy mentioned in your paper,Do you know what the reason is,thanks
The text was updated successfully, but these errors were encountered: