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https://github.com/AtsushiSakai/PythonRobotics.git
synced 2026-01-13 13:18:18 -05:00
remove np.matrix
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@@ -46,14 +46,15 @@ class InformedRRTStar():
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# Computing the sampling space
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cMin = math.sqrt(pow(self.start.x - self.goal.x, 2) +
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pow(self.start.y - self.goal.y, 2))
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xCenter = np.matrix([[(self.start.x + self.goal.x) / 2.0],
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[(self.start.y + self.goal.y) / 2.0], [0]])
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a1 = np.matrix([[(self.goal.x - self.start.x) / cMin],
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[(self.goal.y - self.start.y) / cMin], [0]])
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xCenter = np.array([[(self.start.x + self.goal.x) / 2.0],
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[(self.start.y + self.goal.y) / 2.0], [0]])
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a1 = np.array([[(self.goal.x - self.start.x) / cMin],
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[(self.goal.y - self.start.y) / cMin], [0]])
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etheta = math.atan2(a1[1], a1[0])
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# first column of idenity matrix transposed
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id1_t = np.matrix([1.0, 0.0, 0.0])
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M = np.dot(a1, id1_t)
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id1_t = np.array([1.0, 0.0, 0.0]).reshape(1, 3)
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M = a1 @ id1_t
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U, S, Vh = np.linalg.svd(M, 1, 1)
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C = np.dot(np.dot(U, np.diag(
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[1.0, 1.0, np.linalg.det(U) * np.linalg.det(np.transpose(Vh))])), Vh)
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@@ -285,9 +286,9 @@ class InformedRRTStar():
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t = np.arange(0, 2 * math.pi + 0.1, 0.1)
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x = [a * math.cos(it) for it in t]
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y = [b * math.sin(it) for it in t]
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R = np.matrix([[math.cos(angle), math.sin(angle)],
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[-math.sin(angle), math.cos(angle)]])
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fx = R * np.matrix([x, y])
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R = np.array([[math.cos(angle), math.sin(angle)],
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[-math.sin(angle), math.cos(angle)]])
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fx = R @ np.array([x, y])
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px = np.array(fx[0, :] + cx).flatten()
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py = np.array(fx[1, :] + cy).flatten()
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plt.plot(cx, cy, "xc")
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