I hate to say this, but this submissions readme seems obviously AI generated.
As for WOLF... it’s actually a really interesting framework, so credit where it’s due. That said, it’s built around a different philosophy. It’s a general-purpose factor graph system, while FusionCore is more opinionated and tuned specifically for GPS/IMU/wheel-based outdoor robotics.
If you’ve got a dataset you’d like me to run FusionCore on, send it over... I’m happy to share results. That might be a more useful way to compare them.
It has almost 200 commits since mid March. It’s AI generated. Determining that took me 2 minutes. The high order bit here is actually whether it is of high quality.
If it is high quality (I didn’t check) and it’s honest about its provenance, the way it was made is immaterial.
I’ve already had six testers validate things across a range of environments—agricultural fields, open spaces, tunnels, underpasses, and even urban canyons with brief GPS dropouts. In those kinds of scenarios, FusionCore’s gating really stands out as a strength.