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First, thanks for publishing the minisam library, it is very helpful.
However, I come across some problem, and hope to get some advice from you.
I am designing system like under, I have variables: lij and Ti, which is different type, one is a number belong to [0,1], one is a transformation belong to SE(2)
I first put all SE(2) in the initials, but when I put lij to initials, I get error like under
So I am wondering if we can't joint optimize different type of variables?
I have an idea to work around like defining lij as SE(2), but only use part of it in error function, but I am curious if there is a way to do this directly.
The text was updated successfully, but these errors were encountered:
carlin314
changed the title
Joint optimization with dirrerent type of variables
Joint optimization with differerent type of variables
Apr 8, 2021
First, thanks for publishing the minisam library, it is very helpful.
However, I come across some problem, and hope to get some advice from you.
I am designing system like under, I have variables: lij and Ti, which is different type, one is a number belong to [0,1], one is a transformation belong to SE(2)
I first put all SE(2) in the initials, but when I put lij to initials, I get error like under
So I am wondering if we can't joint optimize different type of variables?
I have an idea to work around like defining lij as SE(2), but only use part of it in error function, but I am curious if there is a way to do this directly.
The text was updated successfully, but these errors were encountered: