Is is true that I don't need to perform any trajectory alignment if I get the trajectory prediction from an end-to-end deep learning based visual odometry network? For example, I deployed the Deep VO model and got the following results for sequence 04 in KITTI:
The origin is already aligned. Should I just calculate the ATE simply by doing the root-mean-squared differences? I'm a little confused because the author claims the following:
This question seems to be not about evo, but about a specific paper or application. Looks like you should contact the author of the paper for clarification instead, I can't help you with this.
Hi all,
Is is true that I don't need to perform any trajectory alignment if I get the trajectory prediction from an end-to-end deep learning based visual odometry network? For example, I deployed the Deep VO model and got the following results for sequence 04 in KITTI:
The origin is already aligned. Should I just calculate the ATE simply by doing the root-mean-squared differences? I'm a little confused because the author claims the following: