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ArashJavan / DeepLIO

Deep Lidar Inertial Odometry
Apache License 2.0
53 stars 10 forks source link

Did you publish an article about this project? #7

Closed tym2103 closed 3 years ago

tym2103 commented 3 years ago

Your project has inspired me so much that I want to quote your paper!!!

ArashJavan commented 3 years ago

@tym2103 sorry for the delayed reply. I am really glad to hear that DeepLIO could help/inspire you :) . Yes, the project will be published soon - at least I hope :). But nevertheless, if you can not wait till then, you can also quote the git-repo.

Good luck with your project and happy to hear from you and your projects soon!

ArashJavan commented 3 years ago

@tym2103 ok, the paper is published now here

rginjapan commented 3 years ago

@ArashJavan I have already read your nice paper, just want to know, did you try to evaluate the uncertainty in your loss function (33).

ArashJavan commented 3 years ago

@rginjapan I am very pleased. Well, that's a really good point! We have some thoughts about it, but for now, we are expanding deeplio to use raw point clouds. But expressing uncertainty on the estimations - e.g. using monte carlo dropout, is also in the pipeline ;)