remove optimization sample

This commit is contained in:
AtsushiSakai
2017-05-06 10:28:39 -07:00
parent c26a2a2118
commit e971960ad1
13 changed files with 32 additions and 449 deletions

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@@ -1,7 +1,7 @@
#!/usr/bin/python
# -*- coding: utf-8 -*-
u"""
@brief: Path Planning Sample Code with Randamized Rapidly-Exploring Random Trees (RRT)
@brief: Path Planning Sample Code with Randamized Rapidly-Exploring Random Trees (RRT)
@author: AtsushiSakai
@@ -14,12 +14,14 @@ import random
import math
import copy
class RRT():
u"""
Class for RRT Planning
"""
def __init__(self, start, goal, obstacleList,randArea,expandDis=1.0,goalSampleRate=5,maxIter=500):
def __init__(self, start, goal, obstacleList,
randArea, expandDis=1.0, goalSampleRate=5, maxIter=500):
u"""
Setting Parameter
@@ -29,17 +31,17 @@ class RRT():
randArea:Ramdom Samping Area [min,max]
"""
self.start=Node(start[0],start[1])
self.end=Node(goal[0],goal[1])
self.start = Node(start[0], start[1])
self.end = Node(goal[0], goal[1])
self.minrand = randArea[0]
self.maxrand = randArea[1]
self.expandDis = expandDis
self.goalSampleRate = goalSampleRate
self.maxIter = maxIter
def Planning(self,animation=True):
def Planning(self, animation=True):
u"""
Pathplanning
Pathplanning
animation: flag for animation on or off
"""
@@ -48,7 +50,8 @@ class RRT():
while True:
# Random Sampling
if random.randint(0, 100) > self.goalSampleRate:
rnd = [random.uniform(self.minrand, self.maxrand), random.uniform(self.minrand, self.maxrand)]
rnd = [random.uniform(self.minrand, self.maxrand), random.uniform(
self.minrand, self.maxrand)]
else:
rnd = [self.end.x, self.end.y]
@@ -57,7 +60,7 @@ class RRT():
# print(nind)
# expand tree
nearestNode =self.nodeList[nind]
nearestNode = self.nodeList[nind]
theta = math.atan2(rnd[1] - nearestNode.y, rnd[0] - nearestNode.x)
newNode = copy.deepcopy(nearestNode)
@@ -81,18 +84,17 @@ class RRT():
if animation:
self.DrawGraph(rnd)
path=[[self.end.x,self.end.y]]
path = [[self.end.x, self.end.y]]
lastIndex = len(self.nodeList) - 1
while self.nodeList[lastIndex].parent is not None:
node = self.nodeList[lastIndex]
path.append([node.x,node.y])
path.append([node.x, node.y])
lastIndex = node.parent
path.append([self.start.x, self.start.y])
return path
def DrawGraph(self,rnd=None):
def DrawGraph(self, rnd=None):
u"""
Draw Graph
"""
@@ -102,8 +104,12 @@ class RRT():
plt.plot(rnd[0], rnd[1], "^k")
for node in self.nodeList:
if node.parent is not None:
plt.plot([node.x, self.nodeList[node.parent].x], [node.y, self.nodeList[node.parent].y], "-g")
plt.plot([ox for (ox,oy,size) in obstacleList],[oy for (ox,oy,size) in obstacleList], "ok", ms=size * 20)
plt.plot([node.x, self.nodeList[node.parent].x], [
node.y, self.nodeList[node.parent].y], "-g")
for (ox, oy, size) in obstacleList:
plt.plot(ox, oy, "ok", ms=30 * size)
plt.plot(self.start.x, self.start.y, "xr")
plt.plot(self.end.x, self.end.y, "xr")
plt.axis([-2, 15, -2, 15])
@@ -111,7 +117,8 @@ class RRT():
plt.pause(0.01)
def GetNearestListIndex(self, nodeList, rnd):
dlist = [(node.x - rnd[0]) ** 2 + (node.y - rnd[1]) ** 2 for node in nodeList]
dlist = [(node.x - rnd[0]) ** 2 + (node.y - rnd[1])
** 2 for node in nodeList]
minind = dlist.index(min(dlist))
return minind
@@ -126,6 +133,7 @@ class RRT():
return True # safe
class Node():
u"""
RRT Node
@@ -136,9 +144,10 @@ class Node():
self.y = y
self.parent = None
if __name__ == '__main__':
import matplotlib.pyplot as plt
#====Search Path with RRT====
# ====Search Path with RRT====
obstacleList = [
(5, 5, 1),
(3, 6, 2),
@@ -147,13 +156,14 @@ if __name__ == '__main__':
(7, 5, 2),
(9, 5, 2)
] # [x,y,size]
#Set Initial parameters
rrt=RRT(start=[0,0],goal=[5,10],randArea=[-2,15],obstacleList=obstacleList)
path=rrt.Planning(animation=True)
# Set Initial parameters
rrt = RRT(start=[0, 0], goal=[5, 10],
randArea=[-2, 15], obstacleList=obstacleList)
path = rrt.Planning(animation=True)
# Draw final path
rrt.DrawGraph()
plt.plot([x for (x,y) in path], [y for (x,y) in path],'-r')
plt.plot([x for (x, y) in path], [y for (x, y) in path], '-r')
plt.grid(True)
plt.pause(0.01) # Need for Mac
plt.show()