ICP-ROS 실습 (10%)
import sys
sys.path.append("/workspace/include")
import rospy
from sensor_msgs.msg import PointCloud2
import sensor_msgs.point_cloud2 as pc2
import numpy as np
import pcl
import pcl_msg
import pcl_helper
import filter
import time
def icp(input_pcl):
lidar_202 = pcl_helper.XYZRGB_to_XYZ(input_pcl)
a202 = lidar_202.to_array()
ones = np.ones((a202.shape[0],1))
a202 = np.column_stack([a202, ones])
key_array = np.array([[-0.986734, 0.070747, -0.146117, 13.072186],
[-0.051031, -0.989596, -0.134524, 0.532883],
[-0.154114, -0.125283, 0.980078, 1.061544],
[0.000000, 0.000000, 0.000000, 1.000000]])
new_data = np.ones((a202.shape[0],a202.shape[1]), dtype='f')
for I in range(0,a202.shape[0]-1):
new_data[I,] = np.dot(key_array, a202[I,])
new_data = np.delete(new_data, (3), axis=1)
new_data = np.delete(new_data, (new_data.shape[0]-1), axis=0)
new_cloud = pcl.PointCloud()
new_cloud.from_array(new_data)
new_cloud = pcl_helper.XYZ_to_XYZRGB(new_cloud,[255,255,255])
print("[{}]cloud type :{}".format(time.time(),type(new_cloud)))
return new_cloud
def callback(input_ros_msg):
pcl_xyzrgb = pcl_helper.ros_to_pcl(input_ros_msg)
calibrated_pcl = icp(pcl_xyzrgb)
roi_ros_msg = pcl_helper.pcl_to_ros(calibrated_pcl)
pub = rospy.Publisher("/velodyne_icp", PointCloud2, queue_size=1)
pub.publish(roi_ros_msg)
if __name__ == "__main__":
rospy.init_node('myopen3d_node', anonymous=True)
rospy.Subscriber('/lidar_202/velodyne_points', PointCloud2, callback)
rospy.spin()