Adaptive curvesdependence of the mean square error e(k) on the step of

Adaptive Curve. Phillips Curve Consequently, the approach can generate a B-spline curve of good quality with less deviation. However, above research of B-spline methods often strug-gle with slow convergence, low optimization eciency, and poor adaptability to discontinuous data, which limits their

Adaptive curves of the three intelligent algorithms. Download
Adaptive curves of the three intelligent algorithms. Download from www.researchgate.net

Both are curve track generation methods on John Deere. If you specify a points array, the new points will be pushed onto that array (useful for building paths)

Adaptive curves of the three intelligent algorithms. Download

AB curves are basically straight tracks but with curved lines, meaning it duplicates the first line created If you specify a points array, the new points will be pushed onto that array (useful for building paths) Returns an adaptive quadratic curve for the given three control points

Schematic representation of typical adaptation curves to impulse (A. If you don't specify points, a new array will be used. Consequently, the approach can generate a B-spline curve of good quality with less deviation.

Schematic representation of typical adaptation curves to impulse (A. AB curves are basically straight tracks but with curved lines, meaning it duplicates the first line created With the knot placement and the dominant point selection, the proposed approach can realize the concept of adaptive curve refinement that fewer curve segments are generated at flat regions but more at complex regions