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- """
- bezier path
- author: Atsushi Sakai(@Atsushi_twi)
- modified: huiming zhou
- """
- import numpy as np
- import matplotlib.pyplot as plt
- from scipy.special import comb
- import draw
- def calc_4points_bezier_path(sx, sy, syaw, gx, gy, gyaw, offset):
- dist = np.hypot(sx - gx, sy - gy) / offset
- control_points = np.array(
- [[sx, sy],
- [sx + dist * np.cos(syaw), sy + dist * np.sin(syaw)],
- [gx - dist * np.cos(gyaw), gy - dist * np.sin(gyaw)],
- [gx, gy]])
- path = calc_bezier_path(control_points, n_points=100)
- return path, control_points
- def calc_bezier_path(control_points, n_points=100):
- traj = []
- for t in np.linspace(0, 1, n_points):
- traj.append(bezier(t, control_points))
- return np.array(traj)
- def Comb(n, i, t):
- return comb(n, i) * t ** i * (1 - t) ** (n - i)
- def bezier(t, control_points):
- n = len(control_points) - 1
- return np.sum([Comb(n, i, t) * control_points[i] for i in range(n + 1)], axis=0)
- def bezier_derivatives_control_points(control_points, n_derivatives):
- w = {0: control_points}
- for i in range(n_derivatives):
- n = len(w[i])
- w[i + 1] = np.array([(n - 1) * (w[i][j + 1] - w[i][j])
- for j in range(n - 1)])
- return w
- def curvature(dx, dy, ddx, ddy):
- return (dx * ddy - dy * ddx) / (dx ** 2 + dy ** 2) ** (3 / 2)
- def simulation():
- sx = [-3, 0, 4, 6]
- sy = [2, 0, 1.5, 6]
- ratio = np.linspace(0, 1, 100)
- pathx, pathy = [], []
- for t in ratio:
- x, y = [], []
- for i in range(len(sx) - 1):
- x.append(sx[i + 1] * t + sx[i] * (1 - t))
- y.append(sy[i + 1] * t + sy[i] * (1 - t))
- xx, yy = [], []
- for i in range(len(x) - 1):
- xx.append(x[i + 1] * t + x[i] * (1 - t))
- yy.append(y[i + 1] * t + y[i] * (1 - t))
- px = xx[1] * t + xx[0] * (1 - t)
- py = yy[1] * t + yy[0] * (1 - t)
- pathx.append(px)
- pathy.append(py)
- plt.cla()
- plt.plot(sx, sy, linestyle='-', marker='o', color='dimgray', label="Control Points")
- plt.plot(x, y, color='dodgerblue')
- plt.plot(xx, yy, color='cyan')
- plt.plot(pathx, pathy, color='darkorange', linewidth=2, label="Bezier Path")
- plt.plot(px, py, marker='o')
- plt.axis("equal")
- plt.legend()
- plt.title("Cubic Bezier Curve demo")
- plt.grid(True)
- plt.pause(0.001)
- plt.show()
- def main():
- sx, sy, syaw = 10.0, 1.0, np.deg2rad(180.0)
- gx, gy, gyaw = 0.0, -3.0, np.deg2rad(-45.0)
- offset = 3.0
- path, control_points = calc_4points_bezier_path(sx, sy, syaw, gx, gy, gyaw, offset)
- t = 0.8 # Number in [0, 1]
- x_target, y_target = bezier(t, control_points)
- derivatives_cp = bezier_derivatives_control_points(control_points, 2)
- point = bezier(t, control_points)
- dt = bezier(t, derivatives_cp[1])
- ddt = bezier(t, derivatives_cp[2])
- # Radius of curv
- radius = 1 / curvature(dt[0], dt[1], ddt[0], ddt[1])
- # Normalize derivative
- dt /= np.linalg.norm(dt, 2)
- tangent = np.array([point, point + dt])
- normal = np.array([point, point + [- dt[1], dt[0]]])
- curvature_center = point + np.array([- dt[1], dt[0]]) * radius
- circle = plt.Circle(tuple(curvature_center), radius,
- color=(0, 0.8, 0.8), fill=False, linewidth=1)
- assert path.T[0][0] == sx, "path is invalid"
- assert path.T[1][0] == sy, "path is invalid"
- assert path.T[0][-1] == gx, "path is invalid"
- assert path.T[1][-1] == gy, "path is invalid"
- fig, ax = plt.subplots()
- ax.plot(path.T[0], path.T[1], label="Bezier Path")
- ax.plot(control_points.T[0], control_points.T[1],
- '--o', label="Control Points")
- ax.plot(x_target, y_target)
- ax.plot(tangent[:, 0], tangent[:, 1], label="Tangent")
- ax.plot(normal[:, 0], normal[:, 1], label="Normal")
- ax.add_artist(circle)
- draw.Arrow(sx, sy, syaw, 1, "darkorange")
- draw.Arrow(gx, gy, gyaw, 1, "darkorange")
- plt.grid(True)
- plt.title("Bezier Path: from Atsushi's work")
- ax.axis("equal")
- plt.show()
- if __name__ == '__main__':
- main()
- # simulation()
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