Just reading your thesis: Very interesting stuff! Thanks for sharing it.
Thinking about "fairness" of a spline: Intuitively I'd say a curve is "most fair" as compared to other curves when it minimizes the sum of squared centrifugal forces of a body moving along the path. In other words: The faster I can drive a car along the path the fairer the path :)
This is very similar to the "Minimum Energy Curve" fairness metric, which minimizes sum of of bending energy, which in turn is proportional to curvature squared. And, thanks to basic physics, curvature is proportional to the centripetal force given a constant velocity.
The problem with MEC is that it tends to optimize for low tension; for inputs that are not well behaved, it sometimes optimizes for infinitely low tension, ie an infinitely long road. So there are other metrics, like Minimum Variation of Curvature, that work better for actual spline use, even though they have an energy metric that's "worse."
These curves are absolutely useful for path planning. A lot of the literature on "clothoids" from a hundred years or so ago is on transition curves for railroads. The G2 continuity condition basically means that you never have to suddenly turn the steering wheel to follow the curve, it's always moving continuously.
Thinking about "fairness" of a spline: Intuitively I'd say a curve is "most fair" as compared to other curves when it minimizes the sum of squared centrifugal forces of a body moving along the path. In other words: The faster I can drive a car along the path the fairer the path :)
Would such a definition make any sense?