Information about the dataset about deepvo HOT 3 CLOSED

The dataset consisted of 6-d poses and consecutive camera images. We cut the entire sequence into chunks of some length (the sequence_length) and each pose within a subsequence was relative to the initial pose of the subsequence (not the initial pose of the robot, but the data manager will do that for you). We tried different subsequence lengths but I can't give you a good value. We managed any kind of convergence only on a test dataset where the robot moved only forwards and backwards randomly.

from deepvo.

Hi,
Have you gotten a good result like the original paper showed using KITTI data for training and testing?

from deepvo.

Unfortunately, we didn't get to using the actual KITTI data since our model didn't even train properly on our toy datasets.

from deepvo.