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Question: how hard would it be to add 3D mapping and localization? #3
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I am not sure what you mean by "known poses".
I can give you my rosbags :)
I have a use case in which the robot is an autonomous vehicle and i want to have a very good localization (as precise as possible). But I am too frustrated to go on: the original code is too complex, too many hard-coded parameters and I can not save maps and have a localization-only mode. I would rather use my time to build on top of iris_lama, rather than continue refactoring Lego-LOAM. But this might be based on a positive bias I have toward your software ;) |
Fancy words to say that I have a ground truth.
I would appreciate that. Can you provide them to me when possible?
You have my attention. It has been my goal to extend it to 3D. This could be the final push to finally dive in. Note that LaMa has saving and loading implemented but it is not active in the code. It lacks a clear structure. |
+1 for a 3D implementation. I like the choices you made, particularly SDM. I work with a combination of Cartographer and VoxBlox and would love to see a single project that is a compromise between the two. Is there any update on making 3D work? |
Hi @salsicha.
Nice, I would like to take a look at it, is it public? PS: salsicha is a funny name in my language https://pt.wikipedia.org/wiki/Salsicha |
Sorry, no code. But here’s a picture:
Its a nickname, it’s a reference to this: |
it is very nice to see haw there is a clear separation between the ROS and non ROS part in LAMA.
My question is: how mature and tested is the 3D (octomap) implementation of iris_lama? Do you see a transition to 3D SLAM with sensors such as Velodyne something very hard or relatively straightforward?
Just want your opinion before entering the white rabbit's hole myself.
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