mirror of
https://github.com/zhm-real/PathPlanning.git
synced 2026-08-29 16:40:46 +08:00
update ARA*
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+15
-11
@@ -19,7 +19,11 @@
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<select />
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<change beforePath="$PROJECT_DIR$/ara_star.py" beforeDir="false" afterPath="$PROJECT_DIR$/ara_star.py" afterDir="false" />
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<change beforePath="$PROJECT_DIR$/plotting.py" beforeDir="false" afterPath="$PROJECT_DIR$/plotting.py" afterDir="false" />
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@@ -51,7 +55,7 @@
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<component name="RunManager" selected="Python.a_star">
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<component name="RunManager" selected="Python.ara_star">
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<configuration name="a_star" type="PythonConfigurationType" factoryName="Python" temporary="true">
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<module name="Search-based Planning" />
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<option name="INTERPRETER_OPTIONS" value="" />
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@@ -159,8 +163,8 @@
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</configuration>
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<recent_temporary>
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<item itemvalue="Python.a_star" />
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<item itemvalue="Python.ara_star" />
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<item itemvalue="Python.a_star" />
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<item itemvalue="Python.bfs" />
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<item itemvalue="Python.dfs" />
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<item itemvalue="Python.dijkstra" />
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@@ -198,22 +202,22 @@
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<state width="1832" height="206" key="GridCell.Tab.0.right" timestamp="1593242428508">
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</state>
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<state width="1832" height="206" key="GridCell.Tab.0.right/65.24.1855.1056/1920.0.1920.1080@1920.0.1920.1080" timestamp="1593133319558" />
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<state width="1832" height="206" key="GridCell.Tab.0.right/65.24.1855.1056/1920.0.1920.1080@1920.0.1920.1080" timestamp="1593242428508" />
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</state>
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Binary file not shown.
@@ -15,7 +15,7 @@ class AraStar:
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self.u_set = self.Env.motions # feasible input set
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self.obs = self.Env.obs # position of obstacles
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self.e = 3
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self.e = 2.5
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self.g = {self.xI: 0, self.xG: float("inf")}
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self.fig_name = "ARA_Star Algorithm"
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@@ -24,47 +24,57 @@ class AraStar:
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self.INCONS = []
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self.parent = {self.xI: self.xI}
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def searching(self):
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path = []
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self.path = []
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self.visited = []
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def searching(self):
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self.OPEN.put(self.xI, self.fvalue(self.xI))
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self.ImprovePath()
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path.append(self.extract_path())
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self.path.append(self.extract_path())
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while self.update_e() > 1:
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self.e -= 0.5
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print(self.e)
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OPEN_mid = [x for (p, x) in self.OPEN.enumerate()] + self.INCONS
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self.OPEN = queue.QueuePrior()
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self.OPEN.put(self.xI, self.fvalue(self.xI))
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for x in OPEN_mid:
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self.OPEN.put(x, self.fvalue(x))
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self.INCONS = []
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self.CLOSED = []
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self.ImprovePath()
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self.path.append(self.extract_path())
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path.append(self.extract_path())
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return path
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return self.path, self.visited
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def ImprovePath(self):
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while (not self.OPEN.empty() and self.fvalue(self.xG) >
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visited_each = []
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while (self.fvalue(self.xG) >
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min([self.fvalue(x) for (p, x) in self.OPEN.enumerate()])):
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s = self.OPEN.get()
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self.CLOSED.append(s)
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if s not in self.CLOSED:
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self.CLOSED.append(s)
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for u_next in self.u_set:
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s_next = tuple([s[i] + u_next[i] for i in range(len(s))])
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if s_next not in self.obs:
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new_cost = self.g[s] + self.get_cost(s, u_next)
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if s_next not in self.g or new_cost < self.g[s_next]:
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self.g[s_next] = new_cost
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self.parent[s_next] = s
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visited_each.append(s_next)
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if s_next not in self.CLOSED:
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self.OPEN.put(s_next, self.fvalue(s_next))
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else:
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self.INCONS.append(s_next)
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self.visited.append(visited_each)
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def update_e(self):
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c_OPEN, c_INCONS = float("inf"), float("inf")
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@@ -76,8 +86,8 @@ class AraStar:
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if min(c_OPEN, c_INCONS) == float("inf"):
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return 1
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else:
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return min(self.e, self.g[self.xG] / min(c_OPEN, c_INCONS))
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return min(self.e, self.g[self.xG] / min(c_OPEN, c_INCONS))
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def fvalue(self, x):
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h = self.e * self.Heuristic(x)
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@@ -143,23 +153,10 @@ def main():
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arastar = AraStar(x_start, x_goal, "manhattan")
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plot = plotting.Plotting(x_start, x_goal)
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path = arastar.searching()
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fig_name = "ARA* algorithm"
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path, visited = arastar.searching()
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plot.plot_grid("ARA*")
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print(arastar.e)
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for path_i in path:
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path_i.remove(x_start)
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path_i.remove(x_goal)
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path_x = [path_i[i][0] for i in range(len(path_i))]
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path_y = [path_i[i][1] for i in range(len(path_i))]
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plt.plot(path_x, path_y, linewidth='3', marker='o')
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plt.pause(1)
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plt.show()
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plot.animation_ara_star(path, visited, fig_name)
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if __name__ == '__main__':
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@@ -12,6 +12,7 @@ class Plotting:
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self.plot_grid(name)
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self.plot_visited(visited)
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self.plot_path(path)
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plt.show()
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def plot_grid(self, name):
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obs_x = [self.obs[i][0] for i in range(len(self.obs))]
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@@ -23,31 +24,62 @@ class Plotting:
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plt.title(name)
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plt.axis("equal")
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def plot_visited(self, visited):
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visited.remove(self.xI)
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def plot_visited(self, visited, cl='gray'):
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if self.xI in visited:
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visited.remove(self.xI)
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if self.xG in visited:
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visited.remove(self.xG)
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count = 0
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for x in visited:
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count += 1
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plt.plot(x[0], x[1], linewidth='3', color='#808080', marker='o')
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plt.plot(x[0], x[1], linewidth='3', color=cl, marker='o')
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plt.gcf().canvas.mpl_connect('key_release_event',
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lambda event: [exit(0) if event.key == 'escape' else None])
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if count < len(visited) / 3:
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length = 15
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elif count < len(visited) * 2 / 3:
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length = 30
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length = 25
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else:
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length = 45
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length = 35
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if count % length == 0: plt.pause(0.001)
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if count % length == 0:
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plt.pause(0.001)
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plt.pause(0.01)
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def plot_path(self, path, cl='r', flag=False):
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if self.xI in path:
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path.remove(self.xI)
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if self.xG in path:
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path.remove(self.xG)
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def plot_path(self, path):
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path.remove(self.xI)
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path.remove(self.xG)
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path_x = [path[i][0] for i in range(len(path))]
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path_y = [path[i][1] for i in range(len(path))]
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plt.plot(path_x, path_y, linewidth='3', color='r', marker='o')
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if not flag:
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plt.plot(path_x, path_y, linewidth='3', color='r', marker='o')
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else:
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plt.plot(path_x, path_y, linewidth='3', color=cl, marker='o')
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plt.pause(0.01)
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def animation_ara_star(self, path, visited, name):
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self.plot_grid(name)
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cl_v, cl_p = self.color_list()
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for k in range(len(path)):
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self.plot_visited(visited[k], cl_v[k])
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self.plot_path(path[k], cl_p[k], True)
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plt.pause(0.5)
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plt.show()
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@staticmethod
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def color_list():
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cl_v = ['silver', 'wheat', 'lightskyblue', 'plum', 'slategray']
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cl_p = ['gray', 'orange', 'deepskyblue', 'red', 'm']
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return cl_v, cl_p
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