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https://github.com/AtsushiSakai/PythonRobotics.git
synced 2026-04-22 03:00:41 -04:00
add tests
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@@ -14,6 +14,8 @@ import pure_pursuit
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import unicycle_model
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import matplotlib.pyplot as plt
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show_animation = True
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target_speed = 10.0 / 3.6
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@@ -105,8 +107,6 @@ class RRT():
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best_time = t[-1]
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fx, fy, fyaw, fv, ft, fa, fd = x, y, yaw, v, t, a, d
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# plt.show()
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print("best time is")
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print(best_time)
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@@ -176,13 +176,6 @@ class RRT():
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print("This path is collision")
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find_goal = False
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# plt.clf
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# plt.plot(x, y, '-r')
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# plt.plot(path[:, 0], path[:, 1], '-g')
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# plt.grid(True)
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# plt.axis("equal")
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# plt.show()
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return find_goal, x, y, yaw, v, t, a, d
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def choose_parent(self, newNode, nearinds):
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@@ -424,7 +417,7 @@ def main():
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goal = [6.0, 7.0, math.radians(90.0)]
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rrt = RRT(start, goal, randArea=[-2.0, 20.0], obstacleList=obstacleList)
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flag, x, y, yaw, v, t, a, d = rrt.Planning(animation=True)
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flag, x, y, yaw, v, t, a, d = rrt.Planning(animation=show_animation)
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if not flag:
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print("cannot find feasible path")
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@@ -432,37 +425,38 @@ def main():
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# flg, ax = plt.subplots(1)
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# Draw final path
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rrt.DrawGraph()
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plt.plot(x, y, '-r')
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plt.grid(True)
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plt.pause(0.001)
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if show_animation:
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rrt.DrawGraph()
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plt.plot(x, y, '-r')
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plt.grid(True)
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plt.pause(0.001)
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flg, ax = plt.subplots(1)
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plt.plot(t, [math.degrees(iyaw) for iyaw in yaw[:-1]], '-r')
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plt.xlabel("time[s]")
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plt.ylabel("Yaw[deg]")
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plt.grid(True)
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flg, ax = plt.subplots(1)
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plt.plot(t, [math.degrees(iyaw) for iyaw in yaw[:-1]], '-r')
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plt.xlabel("time[s]")
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plt.ylabel("Yaw[deg]")
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plt.grid(True)
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flg, ax = plt.subplots(1)
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plt.plot(t, [iv * 3.6 for iv in v], '-r')
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flg, ax = plt.subplots(1)
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plt.plot(t, [iv * 3.6 for iv in v], '-r')
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plt.xlabel("time[s]")
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plt.ylabel("velocity[km/h]")
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plt.grid(True)
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plt.xlabel("time[s]")
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plt.ylabel("velocity[km/h]")
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plt.grid(True)
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flg, ax = plt.subplots(1)
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plt.plot(t, a, '-r')
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plt.xlabel("time[s]")
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plt.ylabel("accel[m/ss]")
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plt.grid(True)
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flg, ax = plt.subplots(1)
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plt.plot(t, a, '-r')
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plt.xlabel("time[s]")
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plt.ylabel("accel[m/ss]")
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plt.grid(True)
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flg, ax = plt.subplots(1)
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plt.plot(t, [math.degrees(td) for td in d], '-r')
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plt.xlabel("time[s]")
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plt.ylabel("Steering angle[deg]")
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plt.grid(True)
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flg, ax = plt.subplots(1)
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plt.plot(t, [math.degrees(td) for td in d], '-r')
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plt.xlabel("time[s]")
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plt.ylabel("Steering angle[deg]")
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plt.grid(True)
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plt.show()
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plt.show()
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if __name__ == '__main__':
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