If I had time, I would love to try them and compare. As RTAB-Map is kind of a mix of vision and lidar approaches, we may not find a direct comparison in the literature. RTAB-Map is basically using
libpointmatcher under the hood to do the heavy ICP work, I would expect RTAB-Map behaving similarly to any other ICP-based approaches. For LOAM-based approaches, they don't do ICP to get transforms, but use geometric features. For a while, it looked like LOAM-based approaches were more accurate/fast, though recently
KISS-ICP shown that ICP-based approaches can still be as good.
I updated this page not so long ago:
https://github.com/introlab/rtabmap/wiki/List-of-Open-Source-SLAM-projects, some other popular LiDAR approaches are
LIO-SAM and
FastLio2.
Regards,
Mathieu