You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for your amazing work, Have you tested the effect of matching single frame and map, Will the point cloud of the map be denser and the extracted features more abundant, leading to matching problems?
The text was updated successfully, but these errors were encountered:
For submaps, the point cloud is denser, and the extracted GEMs will be more numerous and complete. I believe this will produce better results than using a single frame.
However, you should note that our registration relies on the results of point cloud segmentation, and the current segmentation algorithms, such as TRAVEL, are designed for single frames. Its parameter file contains some parameters specific to scans, such as the number of beams, angular resolution, upper and lower angle limits, and so on. You need to adjust these parameters, for instance, by setting a higher number of beams (since the map is not as sparse as a scan), and setting the upper and lower limits based on the actual situation.
I have tried registering submaps and found that adjusting these parameters can achieve fairly good segmentation results, and the registration effect is also good. However, I haven't conducted extensive experiments, but I suspect that using submaps would be a more practical choice.
The text was updated successfully, but these errors were encountered: