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agv_pro_ros2/navigation2/tools/planner_benchmarking/metrics.py
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2025-05-27 19:03:40 +08:00

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4.8 KiB
Python

#! /usr/bin/env python3
# Copyright 2022 Joshua Wallace
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from geometry_msgs.msg import PoseStamped
from nav2_simple_commander.robot_navigator import BasicNavigator
import rclpy
from ament_index_python.packages import get_package_share_directory
import math
import os
import pickle
import glob
import time
import numpy as np
from random import seed
from random import randint
from random import uniform
from transforms3d.euler import euler2quat
def getPlannerResults(navigator, initial_pose, goal_pose, planners):
results = []
for planner in planners:
path = navigator._getPathImpl(initial_pose, goal_pose, planner, use_start=True)
if path is not None:
results.append(path)
else:
return results
return results
def getRandomStart(costmap, max_cost, side_buffer, time_stamp, res):
start = PoseStamped()
start.header.frame_id = 'map'
start.header.stamp = time_stamp
while True:
row = randint(side_buffer, costmap.shape[0]-side_buffer)
col = randint(side_buffer, costmap.shape[1]-side_buffer)
if costmap[row, col] < max_cost:
start.pose.position.x = col*res
start.pose.position.y = row*res
yaw = uniform(0, 1) * 2*math.pi
quad = euler2quat(0.0, 0.0, yaw)
start.pose.orientation.w = quad[0]
start.pose.orientation.x = quad[1]
start.pose.orientation.y = quad[2]
start.pose.orientation.z = quad[3]
break
return start
def getRandomGoal(costmap, start, max_cost, side_buffer, time_stamp, res):
goal = PoseStamped()
goal.header.frame_id = 'map'
goal.header.stamp = time_stamp
while True:
row = randint(side_buffer, costmap.shape[0]-side_buffer)
col = randint(side_buffer, costmap.shape[1]-side_buffer)
start_x = start.pose.position.x
start_y = start.pose.position.y
goal_x = col*res
goal_y = row*res
x_diff = goal_x - start_x
y_diff = goal_y - start_y
dist = math.sqrt(x_diff ** 2 + y_diff ** 2)
if costmap[row, col] < max_cost and dist > 3.0:
goal.pose.position.x = goal_x
goal.pose.position.y = goal_y
yaw = uniform(0, 1) * 2*math.pi
quad = euler2quat(0.0, 0.0, yaw)
goal.pose.orientation.w = quad[0]
goal.pose.orientation.x = quad[1]
goal.pose.orientation.y = quad[2]
goal.pose.orientation.z = quad[3]
break
return goal
def main():
rclpy.init()
navigator = BasicNavigator()
# Set map to use, other options: 100by100_15, 100by100_10
map_path = os.getcwd() + '/' + glob.glob('**/100by100_20.yaml', recursive=True)[0]
navigator.changeMap(map_path)
time.sleep(2)
# Get the costmap for start/goal validation
costmap_msg = navigator.getGlobalCostmap()
costmap = np.asarray(costmap_msg.data)
costmap.resize(costmap_msg.metadata.size_y, costmap_msg.metadata.size_x)
planners = ['Navfn', 'ThetaStar', 'SmacHybrid', 'Smac2d', 'SmacLattice']
max_cost = 210
side_buffer = 100
time_stamp = navigator.get_clock().now().to_msg()
results = []
seed(33)
random_pairs = 100
res = costmap_msg.metadata.resolution
i = 0
while len(results) != random_pairs:
print("Cycle: ", i, "out of: ", random_pairs)
start = getRandomStart(costmap, max_cost, side_buffer, time_stamp, res)
goal = getRandomGoal(costmap, start, max_cost, side_buffer, time_stamp, res)
print("Start", start)
print("Goal", goal)
result = getPlannerResults(navigator, start, goal, planners)
if len(result) == len(planners):
results.append(result)
i = i + 1
else:
print("One of the planners was invalid")
print("Write Results...")
with open(os.getcwd() + '/results.pickle', 'wb+') as f:
pickle.dump(results, f, pickle.HIGHEST_PROTOCOL)
with open(os.getcwd() + '/costmap.pickle', 'wb+') as f:
pickle.dump(costmap_msg, f, pickle.HIGHEST_PROTOCOL)
with open(os.getcwd() + '/planners.pickle', 'wb+') as f:
pickle.dump(planners, f, pickle.HIGHEST_PROTOCOL)
print("Write Complete")
exit(0)
if __name__ == '__main__':
main()