Imagine that I have collected a large set of GPS tracks of objects moving from A to B, and for the sake of simplicity assume they avoid obstacles in a consistent way, so that their path is just "noisy", but not very different.
Are there any algorithms that average those paths to a path that is "representative" of the path all users took?