Hey Mathieu,
I was wondering how RTABMAP computational performance can be optimized for a Jetson Orin NX or Jetson AGX. I have seen some issues and PR request:
-
https://github.com/introlab/rtabmap/issues/561-
https://github.com/introlab/rtabmap/pull/1330but I'm not sure what all the libraries are that can be accelerated with GPU and what effect one can expect for different applications like ICP odometry or visual odometry.
I would appreciate any guidance in help of getting the most out of RTABMAP for embedded platforms. Also I think it be great to create an overview about building RTABMAP with GPU support (or a Docker container), parameters for enabling acceleration and possibly even performance difference for a few given systems but of course I'm aware that this will entail a lot of work.
Thanks in advance.
Cheers,
Gilbert