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Calculates yaw and curvature of a 2D line with forward difference.
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from numpy import ediff1d, concatenate, arctan2, ndarray | |
from numpy.typing import ArrayLike | |
def solve_1st_derivative(x: ArrayLike, y: ArrayLike) -> tuple[ndarray, ndarray]: | |
""" | |
:param x: (ArrayLike) x-coordinates of the 2D line [m] | |
:param y: (ArrayLike) y-coordinates of the 2D line [m] | |
:return dx: (ndarray) x-coordinates after forward difference [m] | |
:return dy: (ndarray) y-coordinates after forward difference [m] | |
""" | |
dx = ediff1d(x) | |
dy = ediff1d(y) | |
return concatenate((dx, [dx[-1]])), concatenate((dy, [dy[-1]])) | |
def calculate_yaw(x: ArrayLike, y: ArrayLike) -> ndarray: | |
""" | |
:param x: (ArrayLike) x-coordinates of the 2D line [m] | |
:param y: (ArrayLike) y-coordinates of the 2D line [m] | |
:return yaw: (ndarray) discrete yaw of the 2D line [rad] | |
""" | |
return arctan2(*solve_1st_derivative(x, y)) | |
def calculate_curvature(x: ArrayLike, y: ArrayLike) -> ndarray: | |
""" | |
:param x: (ArrayLike) x-coordinates of the 2D line [m] | |
:param y: (ArrayLike) y-coordinates of the 2D line [m] | |
:return kappa: (ndarray) discrete curvature of the 2D line [m] | |
""" | |
dx, dy = solve_1st_derivative(x, y) | |
ddx, ddy = solve_1st_derivative(dx, dy) | |
return (ddy*dx - ddx*dy) / ((dx*dx + dy*dy)**1.5) |
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