def get_obj_frames(blue_obj, red_obj, base_tf, base2kinect_tf):
base_pose = Pose()
base_pose.position = base_tf.transform.translation
base_pose.orientation = base_tf.transform.rotation
base_kdl = tf_conversions.fromMsg(base_pose)
base_unitX = base_kdl.M.UnitX()
base_unitY = base_kdl.M.UnitY()
base_unitZ = base_kdl.M.UnitZ()
### Frame for Blue Object
blue_center_kinect = PointStamped()
blue_center_kinect.header = base2kinect_tf.header
blue_center_kinect.point = blue_obj.bb_center
blue_center = tf2_geometry_msgs.do_transform_point(blue_center_kinect,
base2kinect_tf)
blue_pose = Pose()
blue_pose.position = blue_center.point
blue_pose.position.z = blue_pose.position.z - blue_obj.bb_dims.z / 2
blue_pose.orientation = base_tf.transform.rotation
blue_kdl = tf_conversions.fromMsg(blue_pose)
blue_pos = blue_kdl.p
blue_rot = PyKDL.Rotation(-base_unitX, -base_unitY, base_unitZ)
blue_kdl = PyKDL.Frame(blue_rot, blue_pos)
blue_pose = tf_conversions.toMsg(blue_kdl)
blue_frame = TransformStamped()
blue_frame.header.frame_id = base_frame
blue_frame.header.stamp = rospy.Time.now()
blue_frame.child_frame_id = 'blue_frame'
blue_frame.transform.translation = blue_pose.position
blue_frame.transform.rotation = blue_pose.orientation
### Frame for Red Object
red_center_kinect = PointStamped()
red_center_kinect.header = base2kinect_tf.header
red_center_kinect.point = red_obj.bb_center
red_center = tf2_geometry_msgs.do_transform_point(red_center_kinect,
base2kinect_tf)
red_pose = Pose()
red_pose.position = red_center.point
red_pose.position.z = red_pose.position.z - red_obj.bb_dims.z / 2
red_pose.orientation = base_tf.transform.rotation
red_kdl = tf_conversions.fromMsg(red_pose)
red_pos = red_kdl.p
red_rot = PyKDL.Rotation(-base_unitX, -base_unitY, base_unitZ)
red_kdl = PyKDL.Frame(red_rot, red_pos)
red_pose = tf_conversions.toMsg(red_kdl)
red_frame = TransformStamped()
red_frame.header.frame_id = base_frame
red_frame.header.stamp = rospy.Time.now()
red_frame.child_frame_id = 'red_frame'
red_frame.transform.translation = red_pose.position
red_frame.transform.rotation = red_pose.orientation
return blue_frame, red_frame
def visualize(self, path, start, goal):
'''
Publish various visualization messages.
'''
#rospy.loginfo('visualizing start')
s = PointStamped()
s.header = Utils.make_header("/map")
s.point.x = start[0]
s.point.y = start[1]
s.point.z = 0
self.start_pub.publish(s)
#rospy.loginfo('visualizing goal')
g = PointStamped()
g.header = Utils.make_header("/map")
g.point.x = goal[0]
g.point.y = goal[1]
g.point.z = 0
self.goal_pub.publish(g)
#rospy.loginfo('visualizing path')
p = Path()
p.header = Utils.make_header("/map")
for point in path:
pose = PoseStamped()
pose.header = Utils.make_header("/map")
pose.pose.position.x = point[0]
pose.pose.position.y = point[1]
pose.pose.orientation = Utils.angle_to_quaternion(0)
p.poses.append(pose)
self.path_pub.publish(p)
def filter_scan(self, scan):
# A callback to filter the input scan and output a new filtered scan
# If there is no polygon initialized then we will just spit out the scan received
if self._poly_init:
self.new_scan = scan
self.new_scan.range_min = 0.1
self.new_scan.range_max = 30.0
self.new_scan.ranges = list(scan.ranges)
self._cloud = self._laser_projector.projectLaser(scan)
# gen = pc2.read_points(self._cloud, skip_nans = True, field_names=("x", "y", "z"))
# self.xyz_generator = gen
laser_point = PointStamped()
laser_point.header = scan.header
# If the polygon and the points being read are in different frames we'll transform the polygon
if self._current_poly.header.frame_id != laser_point.header.frame_id:
# print("Tranforming the polygon")
# tf_listener.waitForTransform(point.header.frame_id, polygon.header.frame_id, rospy.Time(), rospy.Duration(0.10))
i = 0
temp_poly_point = PointStamped()
for v in self._current_poly.polygon.points:
temp_poly_point.header = self._current_poly.header
temp_poly_point.point = v # self._current_poly.polygon.points[i]
temp_poly_point = tf_listener.transformPoint(
laser_point.header.frame_id, temp_poly_point)
self._current_poly.polygon.points[
i] = temp_poly_point.point
i = i + 1
self._current_poly.header.frame_id = laser_point.header.frame_id
i = 0
for p in pc2.read_points(self._cloud,
field_names=("x", "y", "z"),
skip_nans=True):
# print " x : %f y: %f z: %f" %(p[0],p[1],p[2])
laser_point.point.x = p[0]
laser_point.point.y = p[1]
laser_point.point.z = p[2]
# This for loop does not take into account inf points in the original scan. Need to count those too
while scan.ranges[i] == numpy.inf:
i = i + 1
# Check to see in the laser x and y are within the polygon
in_poly = point_in_poly(self._current_poly, laser_point)
# If the point is within the polygon we should throw it out (give it a value of inf)
if in_poly: self.new_scan.ranges[i] = numpy.inf
i = i + 1
else:
self.new_scan = scan
self._send_msg = True
def face_callback(self, msg):
if not self.found_face:
face = PointStamped()
face.header = msg.people[0].header
face.point = msg.people[0].pos
self.face_parent_frame = msg.people[0].header.frame_id
# self.listener.waitForTransform(face.header.frame_id, 'base_link', rospy.Time.now(), rospy.Duration(5.0))
d = sqrt(face.point.x * face.point.x + face.point.y * face.point.y)
# Change the axes from camera-type axes
self.quaternion = quaternion_from_euler(pi/2, pi/2, 0.0)
pose = PoseStamped()
pose.header = face.header
pose.pose.position = face.point
pose.pose.orientation.x = self.quaternion[0]
pose.pose.orientation.y = self.quaternion[1]
pose.pose.orientation.z = self.quaternion[2]
pose.pose.orientation.w = self.quaternion[3]
# Transform to base_link
# pose = self.listener.transformPose('base_link', pose)
face = pose.pose.position
self.quaternion = (pose.pose.orientation.x, pose.pose.orientation.y, pose.pose.orientation.z, pose.pose.orientation.w)
self.origin = (face.x, face.y, face.z)
# Flip the bit
self.found_face = True
def euroc_object_to_odom_combined(euroc_object):
header = Header(0, rospy.Time(0), euroc_object.frame_id)
# Convert the centroid
camera_point = PointStamped()
camera_point.header = header
camera_point.point = euroc_object.c_centroid
odom_point = manipulation.transform_to(camera_point, '/odom_combined')
euroc_object.c_centroid = odom_point.point
euroc_object.frame_id = '/odom_combined'
# Convert the cuboid
if euroc_object.c_cuboid_success:
cuboid_posestamped = PoseStamped(
header, euroc_object.object.primitive_poses[0])
cuboid_posestamped = manipulation.transform_to(cuboid_posestamped,
'/odom_combined')
euroc_object.object.primitive_poses[0] = cuboid_posestamped.pose
euroc_object.object.header.frame_id = '/odom_combined'
# Convert the mpe_object
if euroc_object.mpe_success:
for i in range(0, len(euroc_object.mpe_object.primitive_poses)):
posestamped = PoseStamped(
header, euroc_object.mpe_object.primitive_poses[i])
posestamped = manipulation.transform_to(posestamped,
'/odom_combined')
euroc_object.mpe_object.primitive_poses[i] = posestamped.pose
euroc_object.mpe_object.header.frame_id = '/odom_combined'
def _obj_detection_cb(self, msg):
try:
self._client.wait_for_service(timeout=_CONNECTION_TIMEOUT)
except Exception as e:
rospy.logerr(e)
return
# Get the position of the target object from a camera image
req = InversePerspectiveTransformRequest()
req.target_frame = _SENSOR_FRAME_ID
req.depth_registration = True
for detection in msg.detections:
target_point = Point2DStamped()
target_point.point.x = int(detection.x)
target_point.point.y = int(detection.y)
req.points_2D.append(target_point)
try:
res = self._client(req)
rospy.loginfo(res)
if self._visualize:
for point in res.points_3D:
point_3d = PointStamped()
point_3d.header = point.header
point_3d.point = point.point
self._result_pub.publish(point_3d)
rospy.sleep(.01)
except rospy.ServiceException as e:
rospy.logerr(e)
return
if len(res.points_3D) < 1:
rospy.logerr('There is no detected point')
return
def point_stamped_cb(self, msg):
if not self.is_camera_arrived:
return
pose_stamped = PoseStamped()
pose_stamped.pose.position.x = msg.point.x
pose_stamped.pose.position.y = msg.point.y
pose_stamped.pose.position.z = msg.point.z
try:
transform = self.tf_buffer.lookup_transform(
self.frame_id, msg.header.frame_id, rospy.Time(0),
rospy.Duration(1.0))
except (tf2_ros.LookupException, tf2_ros.ConnectivityException,
tf2_ros.ExtrapolationException) as e:
rospy.logerr('lookup_transform failed: {}'.format(e))
return
position_transformed = tf2_geometry_msgs.do_transform_pose(
pose_stamped, transform).pose.position
pub_point = (position_transformed.x, position_transformed.y,
position_transformed.z)
u, v = self.cameramodels.project3dToPixel(pub_point)
rospy.logdebug("u, v : {}, {}".format(u, v))
pub_msg = PointStamped()
pub_msg.header = msg.header
pub_msg.header.frame_id = self.frame_id
pub_msg.point.x = u
pub_msg.point.y = v
pub_msg.point.z = 0
self.pub.publish(pub_msg)
def publish(self, imu_msg, nav_msg):
if self.tfBuffer.can_transform(nav_msg.header.frame_id, "odom",
rospy.Time.now(),
rospy.Duration.from_sec(0.5)):
if self.tfBuffer.can_transform(imu_msg.header.frame_id,
"base_link", rospy.Time.now(),
rospy.Duration.from_sec(0.5)):
unfiltered_msg = Odometry()
unfiltered_msg.header.frame_id = "odom"
unfiltered_msg.child_frame_id = "base_link"
imu_q = QuaternionStamped()
imu_q.quaternion = imu_msg.orientation
imu_q.header = imu_msg.header
unfiltered_msg.pose.pose.orientation = self.tfListener.transformQuaternion(
"base_link",
imu_q).quaternion #TF2 FOR KINETIC JUST AIN'T WORKING
nav_p = PointStamped()
nav_p.point = nav_msg.pose.pose.position
nav_p.header = nav_msg.header
unfiltered_msg.pose.pose.position = self.tfListener.transformPoint(
"odom", nav_p).point
self.pub.publish(unfiltered_msg)
else:
rospy.logwarn("{} to base_link tf unavailable!".format(
imu_msg.header.frame_id))
else:
rospy.logwarn("{} to odom tf unavailable!".format(
nav_msg.header.frame_id))
def move(self, group, target="", pose=None):
assert target != "" or pose is not None
# group.set_workspace([minX, minY, minZ, maxX, maxY, maxZ])
if pose is not None:
group.set_pose_target(pose)
pt = PointStamped()
pt.header = pose.header
pt.point = pose.pose.position
self.look_at_cb(pt)
else:
group.set_named_target(target)
group.allow_looking(False)
group.allow_replanning(False)
group.set_num_planning_attempts(1)
cnt = 3
while cnt > 0:
if group.go(wait=True):
return True
rospy.sleep(1)
return False
def to_msg_vector(vector):
msg = PointStamped()
msg.header = vector.header
msg.point.x = vector[0]
msg.point.y = vector[1]
msg.point.z = vector[2]
return msg
def cb(msg):
out_msg = PointStamped()
out_msg.header = msg.header
out_msg.point.x = pt_x
out_msg.point.y = pt_y
out_msg.point.z = pt_z
pub.publish(out_msg)
def _obstacle_callback(self, msg):
try:
transform = self.tf_buffer.lookup_transform(
self.map_frame, msg.header.frame_id, msg.header.stamp,
rospy.Duration(1.0))
except (tf2.ConnectivityException, tf2.LookupException,
tf2.ExtrapolationException) as e:
rospy.logwarn(e)
return
for o in msg.obstacles:
point = PointStamped()
point.header = msg.header
point.point = o.pose.pose.pose.position
# Transfrom robot to map frame
point = tf2_geometry_msgs.do_transform_point(point, transform)
# Update robots that are close together
cleaned_robots = []
for old_robot in self.robots:
# Check if there is another robot in memory close to it
if np.linalg.norm(
ros_numpy.numpify(point.point) - ros_numpy.numpify(
old_robot.point)) > self.robot_merge_distance:
cleaned_robots.append(old_robot)
# Update our robot list with a new list that does not contain the duplicates
self.robots = cleaned_robots
# Append our new robots
self.robots.append(point)
def poses_callback(self, pose_msg, identity):
"""Callback for poses of other agents"""
rospy.loginfo_once('Got other poses callback')
if self.pose is None:
return
target_frame = f'drone_{self.my_id}/base_link'
source_frame = 'world'
try:
transform = self.buffer.lookup_transform(target_frame=target_frame,
source_frame=source_frame,
time=rospy.Time(0))
except Exception as e:
print(e)
return
point = PointStamped()
point.header = pose_msg.header
point.point.x = pose_msg.pose.position.x
point.point.y = pose_msg.pose.position.y
point.point.z = pose_msg.pose.position.z
point_tf = tf2_geometry_msgs.do_transform_point(point, transform)
p = point_tf.point
self.poses[identity] = np.array([p.x, p.y, p.z])
def _create_initial_frontier_goal(self):
frontier_gh = ExploreTaskGoal()
curr_ts = rospy.Time.now()
curr_header = Header()
curr_header.frame_id = "map"
curr_header.seq = 1
curr_header.stamp = curr_ts
# Point Stamped
pt_s = PointStamped()
pt_s.header = curr_header
pt_s.point.x = 1.0
# Polygon Stamped
# Note that polygon is not defined so it's an unbounded exploration
pg_s = PolygonStamped()
pg_s.header = curr_header
vertices = [(5.0, 5.0), (-5.0, 5.0), (-5.0, -5.0), (5.0, -5.0)]
for vertex in vertices:
pg_s.polygon.points.append(Point(x=vertex[0], y=vertex[1]))
#frontier_gh.header = curr_header
#frontier_gh.goal_id.stamp = curr_ts
#frontier_gh.goal_id.id = 'initial_frontier_marco'
frontier_gh.explore_boundary = pg_s
frontier_gh.explore_center = pt_s
rospy.loginfo(frontier_gh)
return frontier_gh
def main():
rospy.init_node('kobuki_exploration')
area_to_explore = PolygonStamped()
center_point = PointStamped()
now = rospy.Time.now()
area_to_explore.header.stamp = now
area_to_explore.header.frame_id = "map"
points = [
Point32(-2.65, -2.56, 0.0),
Point32(5.41, -2.7, 0.0),
Point32(5.57, 4.44, 0.0),
Point32(-2.75, 4.37, 0.0)
]
area_to_explore.polygon = Polygon(points)
center_point.header = area_to_explore.header
center_point.point.x = 1.83
center_point.point.y = 1.57
center_point.point.z = 0.0
brain = PR2RobotBrain(area_to_explore, center_point)
brain.getReady()
brain.loop()
def runFilter(self):
r = rospy.Rate(self.filterRate)
while not rospy.is_shutdown():
if self.flag_reset:
self.kf.reset(self.getReset())
self.flag_reset = 0
self.kf.iteration(self.getMeasures())
self.pose_pub_.publish(self.kf.getState())
person_point = PointStamped()
person_point.header = self.kf.getState().header
person_point.header.stamp = rospy.Time.now()
person_point.point = self.kf.getState().pose.position
self.point_pub_.publish(person_point)
self.tf_person.sendTransform((self.kf.getState().pose.position.x,self.kf.getState().pose.position.y,0),
(self.kf.getState().pose.orientation.x,self.kf.getState().pose.orientation.y,self.kf.getState().pose.orientation.z,self.kf.getState().pose.orientation.w),
rospy.Time.now(),
"person_link",
self.kf.getState().header.frame_id)
r.sleep()
def transform_object_pose_to_robot_rf(self, object_pose):
#kinect camera axis not the same as the robot axis so we could have
#to perform the necessary transforms first to get both axes aligned
#and then to transform camera rf to robot's rf
#goal_pose is the final pose of the marker wrt the robot's rf
transform = TransformStamped()
transform.child_frame_id = 'camera_rgb_optical_frame'
transform.transform.translation.x = 0.188441686871
transform.transform.translation.y = -0.0448522594062
transform.transform.translation.z = 0.80968
transform.transform.rotation.x = -0.701957989835
transform.transform.rotation.y = 0.701150861488
transform.transform.rotation.z = -0.0883868019887
transform.transform.rotation.w = 0.0884885482708
trans_pose = tf2_geometry_msgs.do_transform_pose(
object_pose, transform)
#finetuning
trans_pose.pose.position.x += 0.08
trans_pose.pose.position.z -= 0.07
trans_pose.pose.orientation.x = 1.0
trans_pose.pose.orientation.y = 0
trans_pose.pose.orientation.z = 0
trans_pose.pose.orientation.w = 0
self.transposearray_pub.publish(trans_pose)
point = PointStamped()
point.header = object_pose.header
point.header.frame_id = "base"
point.point = trans_pose.pose.position
self.testtranspoint_pub.publish(point)
return trans_pose
def ar_cb(self, markers):
for m in markers.markers:
try:
self.listener.waitForTransform(self.target_frame,
'/RotMarker%02d' % m.id,
m.header.stamp,
rospy.Duration(1.0))
self.listener.waitForTransform("/%s/ground" % self.name,
m.header.frame_id,
m.header.stamp,
rospy.Duration(1.0))
((x, y, z),
rot) = self.listener.lookupTransform(self.target_frame,
'/RotMarker%02d' % m.id,
m.header.stamp)
L = vstack([x, y])
# Transform the measurement into the rover reference frame
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint("/%s/ground" % self.name,
m_pose)
# Call the filter with the observed landmark
Z = vstack([m_pose.point.x, m_pose.point.y])
self.filter.update_ar(Z, L, self.ar_precision)
self.filter.publish(self.pose_pub, self.target_frame,
m.header.stamp)
#self.kf.broadcast(self.broadcaster, self.target_frame, m.header.stamp)
except:
continue
def ar_cb(self, markers):
for m in markers.markers:
try:
self.listener.waitForTransform(self.target_frame,
'/%s/ground' % self.name,
m.header.stamp,
rospy.Duration(1.0))
self.listener.waitForTransform("/%s/ground" % self.name,
m.header.frame_id,
m.header.stamp,
rospy.Duration(1.0))
((x, y, z),
rot) = self.listener.lookupTransform(self.target_frame,
'/%s/ground' % self.name,
m.header.stamp)
euler = euler_from_quaternion(rot)
X = vstack([x, y, euler[2]])
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint("/%s/ground" % self.name,
m_pose)
Z = vstack([m_pose.point.x, m_pose.point.y])
self.mapper.update_ar(Z, X, m.id, self.ar_precision)
except:
continue
self.mapper.publish(self.target_frame, markers.header.stamp)
def estimation(msg):
uwbdis = msg.distance
point = PointStamped()
point.header = Header()
point.header.frame_id = "vicon"
point.header.stamp = rospy.Time.now()
point.point = msg.position
listener.waitForTransform("ned", "vicon", rospy.Time.now(), rospy.Duration(0.05))
point_tf = listener.transformPoint("ned", point)
uwbanchor = array([point_tf.point.x, point_tf.point.y, point_tf.point.z])
imp = array(msg.point)
global q,a,r,xe
#xe, _ = uwb.locate(xe, Q, 1.0/100, uwbdis, uwbanchor, q, a, r)
xe, _ = vision.locate(xe, Q, 1.0/100, imp, visionanchor, q, a, r)
x_msg = state()
x_msg.state.header = Header()
x_msg.state.header.frame_id = "ned"
x_msg.state.header.stamp = rospy.Time.now()
x_msg.state.pose.position = Point(xe[0], xe[1], xe[2])
x_msg.state.pose.orientation = Quaternion(xe[3], xe[4], xe[5], xe[6])
x_msg.velocity = Vector3(xe[7], xe[8], xe[9])
x_msg.bias = xe[10]
pub.publish(x_msg)
def euroc_object_to_odom_combined(euroc_object):
header = Header(0, rospy.Time(0), euroc_object.frame_id)
# Convert the centroid
camera_point = PointStamped()
camera_point.header = header
camera_point.point = euroc_object.c_centroid
odom_point = manipulation.transform_to(camera_point, '/odom_combined')
euroc_object.c_centroid = odom_point.point
euroc_object.frame_id = '/odom_combined'
# Convert the cuboid
if euroc_object.c_cuboid_success:
cuboid_posestamped = PoseStamped(header, euroc_object.object.primitive_poses[0])
cuboid_posestamped = manipulation.transform_to(cuboid_posestamped, '/odom_combined')
euroc_object.object.primitive_poses[0] = cuboid_posestamped.pose
euroc_object.object.header.frame_id = '/odom_combined'
# Convert the mpe_object
if euroc_object.mpe_success:
for i in range(0, len(euroc_object.mpe_object.primitive_poses)):
posestamped = PoseStamped(header, euroc_object.mpe_object.primitive_poses[i])
posestamped = manipulation.transform_to(posestamped, '/odom_combined')
euroc_object.mpe_object.primitive_poses[i] = posestamped.pose
euroc_object.mpe_object.header.frame_id = '/odom_combined'
def pose_cb(self, pose):
m_pose = PointStamped()
m_pose.header = pose.header
m_pose.point = pose.pose.position
m_pose = self.listener.transformPoint(self.reference_frame, m_pose)
self.goal_x = m_pose.point.x
self.goal_y = m_pose.point.y
print "New goal: %.2f %.2f" % (self.goal_x, self.goal_y)
marker = Marker()
marker.header = pose.header
marker.ns = "goal_marker"
marker.id = 10
marker.type = Marker.CYLINDER
marker.action = Marker.ADD
marker.pose = pose.pose
marker.scale.x = 0.1
marker.scale.y = 0.1
marker.scale.z = 0.5
marker.color.a = 1.0
marker.color.r = 1.0
marker.color.g = 1.0
marker.color.b = 0.0
marker.lifetime.secs = -1.0
self.marker_pub.publish(marker)
def getAveragePosByTime(self, dTime):
if len(self.positions) == 0:
return None, 0
now = time.time()
avgX, avgY, avgZ, num = 0, 0, 0, 0
for point in self.positions[-1::-1]: # reverse order
if now - point.header.stamp.secs <= dTime:
avgX += point.point.x
avgY += point.point.y
avgZ += point.point.z
num += 1
else:
break # Assume times are in non-decreasing order
if num == 0:
return None, num
avgX /= num
avgY /= num
avgZ /= num
pointMsg = PointStamped()
pointMsg.header = self.positions[-1].header
pointMsg.point = Point()
pointMsg.point.x = avgX
pointMsg.point.y = avgY
pointMsg.point.z = avgZ
return pointMsg, num
def get_explored_region(self):
""" Get all the explored cells on the grid map"""
# TODO refactor the code, right now hardcoded to quickly solve the problem of non-common areas.
# TODO more in general use matrices.
def nearest_multiple(number, res=0.2):
return np.round(res * np.floor(round(number / res, 2)), 1)
p_in_sender = PointStamped()
p_in_sender.header = self.header
poses = set()
self.tf_listener.waitForTransform("robot_0/map", self.header.frame_id,
rospy.Time(), rospy.Duration(4.0))
p_in_sender.header.stamp = rospy.Time()
for x in range(self.grid.shape[1]):
for y in range(self.grid.shape[0]):
if self.is_free(x, y):
p = self.grid_to_pose((x, y))
p_in_sender.point.x = p[0]
p_in_sender.point.y = p[1]
p_in_common_ref_frame = self.tf_listener.transformPoint(
"robot_0/map", p_in_sender).point
poses.add((nearest_multiple(p_in_common_ref_frame.x),
nearest_multiple(p_in_common_ref_frame.y)))
return poses
def main():
rospy.init_node("hallucinated_lookat")
wait_for_time()
start = PoseStamped()
start.header.frame_id = 'base_link'
reader = ArTagReader(tf.TransformListener())
rospy.sleep(0.5)
sub = rospy.Subscriber("/ar_pose_marker", AlvarMarkers, callback=reader.callback, queue_size=10) # Subscribe to AR tag poses, use reader.callback
while len(reader.markers) == 0:
rospy.sleep(0.1)
head = robot_api.FullBodyLookAt(tf_listener=reader._tf_listener)
sp = PointStamped()
for marker in reader.markers:
# TODO: get the pose to move to
sp.header = marker.header
sp.point = marker.pose.pose.position
# print(sp)
error = head.look_at(sp)
if error:
rospy.loginfo('Moved to marker {}'.format(marker.id))
# return
else:
rospy.logwarn('Failed to move to marker {}'.format(marker.id))
rospy.logerr('Failed to move to any markers!')
def _transform_object(self, box_msg, obj_pose, target_frame):
""" Transform object poses and box message to a target frame """
try:
common_time = self._tf_listener.getLatestCommonTime(
target_frame, obj_pose.header.frame_id)
obj_pose.header.stamp = common_time
self._tf_listener.waitForTransform(target_frame,
obj_pose.header.frame_id,
obj_pose.header.stamp,
rospy.Duration(1))
# transform object pose
old_header = obj_pose.header
obj_pose = self._tf_listener.transformPose(target_frame, obj_pose)
# box center is the object position as defined in bounding_box_wrapper.cpp
box_msg.center = obj_pose.pose.position
# transform box vertices
for vertex in box_msg.vertices:
stamped = PointStamped()
stamped.header = old_header
stamped.point = vertex
transformed = self._tf_listener.transformPoint(
target_frame, stamped)
vertex.x = transformed.point.x
vertex.y = transformed.point.y
vertex.z = transformed.point.z
except (tf.LookupException, tf.ConnectivityException,
tf.ExtrapolationException):
rospy.logerr('Unable to transform %s -> %s' %
(obj_pose.header.frame_id, target_frame))
return box_msg, obj_pose
def _find_stair_base(self, cloud, distance, center, width):
""" Try to find the base of the stairs really exactly """
_, details = self.zarj.eyes.get_cloud_image_with_details(cloud)
occ = 0
pnt = None
while pnt is None:
if not np.isnan(details[distance][center - occ][0]):
pnt = details[distance][center - occ]
break
if not np.isnan(details[distance][center + occ][0]):
pnt = details[distance][center + occ]
break
occ += 1
if occ >= width / 6:
occ = 0
distance -= 1
if pnt is not None:
point = PointStamped()
point.header = cloud.header
point.point.x = pnt[0]
point.point.y = pnt[1]
point.point.z = pnt[2]
pnt = self.zarj.transform.tf_buffer.transform(
point, self.zarj.walk.lfname)
return pnt.point.x
log("ERROR: Could not find stair base")
return None
def to_msg_vector(vector):
msg = PointStamped()
msg.header = vector.header
msg.point.x = vector[0]
msg.point.y = vector[1]
msg.point.z = vector[2]
return msg
def get_rightwall_endpoint(laser_data):
p1 = get_lidar_point_at_angle(laser_data, -90)
p2 = get_lidar_point_at_angle(laser_data, -90 + 20)
delta_y = p2[1] - p1[1]
delta_x = p2[0] - p1[0]
denominator = math.sqrt(delta_y**2 + delta_x**2)
numerator_const_term = p2[0] * p1[1] - p2[1] * p1[0]
wall_at_infinity = p1 + (p2 - p1) * 40
rightwall = PolygonStamped()
rightwall.header = Header(stamp=rospy.Time.now(), frame_id="laser")
rightwall.polygon.points = [
Point32(x=p1[0], y=p1[1]),
Point32(x=wall_at_infinity[0], y=wall_at_infinity[1])
]
pub_rightwall.publish(rightwall)
angle = -90 + 20
endpoint = get_lidar_point_at_angle(laser_data, angle)
for i in range(20):
angle += 5
candid = get_lidar_point_at_angle(laser_data, angle)
distance = abs(delta_y * candid[0] - delta_x * candid[1] +
numerator_const_term) / denominator
if distance < 0.5:
endpoint = candid
else:
break
endpoint_msg = PointStamped()
endpoint_msg.header = Header(stamp=rospy.Time.now(), frame_id="laser")
endpoint_msg.point = Point(endpoint[0], endpoint[1], 0)
pub_rightwall_endpoint.publish(endpoint_msg)
return endpoint
def face_callback(self, msg):
if not self.found_face:
face = PointStamped()
face.header = msg.people[0].header
face.point = msg.people[0].pos
self.face_parent_frame = msg.people[0].header.frame_id
# self.listener.waitForTransform(face.header.frame_id, 'base_link', rospy.Time.now(), rospy.Duration(5.0))
d = sqrt(face.point.x * face.point.x + face.point.y * face.point.y)
# Change the axes from camera-type axes
self.quaternion = quaternion_from_euler(pi / 2, pi / 2, 0.0)
pose = PoseStamped()
pose.header = face.header
pose.pose.position = face.point
pose.pose.orientation.x = self.quaternion[0]
pose.pose.orientation.y = self.quaternion[1]
pose.pose.orientation.z = self.quaternion[2]
pose.pose.orientation.w = self.quaternion[3]
# Transform to base_link
# pose = self.listener.transformPose('base_link', pose)
face = pose.pose.position
self.quaternion = (pose.pose.orientation.x,
pose.pose.orientation.y,
pose.pose.orientation.z,
pose.pose.orientation.w)
self.origin = (face.x, face.y, face.z)
# Flip the bit
self.found_face = True
def transformMap(self, odometry):
odom_position = PointStamped()
odom_position.header = odometry.header
odom_position.point = odometry.pose.pose.position
try:
# Get transform
self._listener.listener().waitForTransform(
self._target_frame, odometry.header.frame_id,
odometry.header.stamp, self._timeout)
return self._listener.listener().transformPoint(
self._target_frame, odom_position)
except (tf.LookupException, tf.ConnectivityException,
tf.ExtrapolationException) as e:
Logger.logwarn(
'Failed to get the transformation to target_frame\n %s' %
str(e))
self._failed = True
return None
except Exception as e:
Logger.logwarn(
'Failed to get the transformation to target frame due to unknown error\n %s'
% str(e))
self._failed = True
return None
def calculate_goalpoint_distance_from_wall(laser_data, distance):
p1 = get_lidar_point_at_angle(laser_data, -90)
p2 = get_lidar_point_at_angle(laser_data, -80)
p3 = get_lidar_point_at_angle(laser_data, -70)
def calc_point(p1, p2, d):
mp = (p1+p2)/2
slopeinv = (p1[0]-p2[0])/(p1[1]-p2[1])
dx = abs(np.sqrt((d**2)/(1+(1/slopeinv**2))))
dy = abs(np.sqrt((d**2)/(1+(slopeinv**2))))
rp = np.array([-1*(mp[0]-dx), (mp[1]-dy)])
# print("GP Details: P1= "+str(p1), "P2="+str(p2), "MP= "+str(mp), "Dx= "+str(dx), "Dy= "+str(dy), "RP= "+str(rp))
return rp
gp1 = calc_point(p1, p2, distance)
gp2 = calc_point(p2, p3, distance)
# Publish for visualization
center = PointStamped()
center.header = Header(stamp=rospy.Time.now(), frame_id="laser")
center.point = Point(gp1[0], gp1[1], 0)
pub_point1.publish(center)
center.point = Point(gp2[0], gp2[1], 0)
pub_point2.publish(center)
return (gp1 + gp2)/2
def compute_center(self, point_array, header):
mean_x = 0.0
mean_y = 0.0
mean_z = 0.0
length = len(point_array)
for p in point_array:
mean_x += p.x
mean_y += p.y
mean_z += p.z
mean_x /= length
mean_y /= length
mean_z /= length
if -0.3 < mean_y < 0: #(sqrt((mean_x**2) + (mean_y**2) + (mean_z**2))) > 0.8 and (sqrt((mean_x**2) + (mean_y**2) + (mean_z**2))) < 2.0:
po = PointStamped()
po.header = header
po.point.x = mean_x
po.point.y = mean_y
po.point.z = mean_z
p = PoseStamped()
p.header = header
p.pose.position.x = mean_x
p.pose.position.y = mean_y
p.pose.position.z = mean_z
self.point_pub.publish(po)
pose = self.transform_object_pose_to_robot_rf(p)
return pose
def timer_callback(self):
self.get_logger().info('Timer callback: "%d"' % self.i)
self.act_gen_admin_request(self.i)
if self.i == 3:
self.i = 0
else:
self.i += 1
self.state_gen_admin_request()
goal = PointStamped()
goal.header = Header()
goal.point = Point()
goal.point.x = 0.1
goal.point.y = 0.1
goal.point.z = 0.1
entt = self.get_entity("Suicide")
if (entt == None):
print("No entity found")
return
else:
self.move_entity_to_goal(entt, goal)
enn = self.get_enemy("Sniper")
if (enn == None):
print("No ennemy found")
return
else:
self.check_line_of_sight_request(entt, enn)
self.get_all_possible_ways_request(entt, goal.point)
def main():
rospy.init_node('pr2_state_machine')
brain = PR2RobotBrain()
brain.getReady()
area_to_explore = PolygonStamped()
center_point = PointStamped()
now = rospy.Time.now()
area_to_explore.header.stamp = now
area_to_explore.header.frame_id = "map"
points = [Point32(-1.65, -1.56, 0.0),
Point32(5.41, -1.7, 0.0),
Point32(5.57, 4.44, 0.0),
Point32(-1.75, 4.37, 0.0)]
area_to_explore.polygon = Polygon(points)
center_point.header = area_to_explore.header
center_point.point.x = 1.83
center_point.point.y = 1.57
center_point.point.z = 0.0
brain = PR2RobotBrain(area_to_explore, center_point)
brain.loop()
def runFilter(self):
r = rospy.Rate(self.filterRate)
while not rospy.is_shutdown():
if self.flag_reset:
self.kf.reset(self.getReset())
self.flag_reset = 0
self.kf.iteration(self.getMeasures())
self.pose_pub_.publish(self.kf.getState())
person_point = PointStamped()
person_point.header = self.kf.getState().header
person_point.header.stamp = rospy.Time.now()
person_point.point = self.kf.getState().pose.position
self.point_pub_.publish(person_point)
self.tf_person.sendTransform(
(self.kf.getState().pose.position.x,
self.kf.getState().pose.position.y, 0),
(self.kf.getState().pose.orientation.x,
self.kf.getState().pose.orientation.y,
self.kf.getState().pose.orientation.z,
self.kf.getState().pose.orientation.w), rospy.Time.now(),
"person_link",
self.kf.getState().header.frame_id)
r.sleep()
def pose_cb(self, pose):
m_pose = PointStamped()
m_pose.header = pose.header
m_pose.point = pose.pose.position
m_pose = self.listener.transformPoint(self.reference_frame,m_pose)
self.goal_x = m_pose.point.x
self.goal_y = m_pose.point.y
print "New goal: %.2f %.2f" % (self.goal_x, self.goal_y)
marker = Marker()
marker.header = pose.header
marker.ns = "goal_marker"
marker.id = 10
marker.type = Marker.CYLINDER
marker.action = Marker.ADD
marker.pose = pose.pose
marker.scale.x = 0.1
marker.scale.y = 0.1
marker.scale.z = 0.5;
marker.color.a = 1.0;
marker.color.r = 1.0;
marker.color.g = 1.0;
marker.color.b = 0.0;
marker.lifetime.secs=-1.0
self.marker_pub.publish(marker)
def point_cb(self, msg):
#self.point = msg
cloud = read_points_np(msg)
point = PointStamped()
point.header = msg.header
if cloud.shape[1] == 0: return
point.point.x, point.point.y, point.point.z = cloud[0][0]
self.point = point
def do_transform_point(point, transform):
p = transform_to_kdl(transform) * PyKDL.Vector(point.point.x, point.point.y, point.point.z)
res = PointStamped()
res.point.x = p[0]
res.point.y = p[1]
res.point.z = p[2]
res.header = transform.header
return res
def people_cb(meas):
global mouth_center
ps = PointStamped()
ps.point = meas.pos
ps.header = meas.header
ps.header.stamp = rospy.Time(0)
point = tfl.transformPoint(model.tf_frame, ps)
mouth_center = model.project3dToPixel((point.point.x, point.point.y + mouth_offset, point.point.z))
def publish(self, msg):
pt = PointStamped()
pt.header = msg.header
pt.point = msg.pos
self._point_pub.publish(pt)
def transform_pos(self, pt, hdr):
ps = PointStamped()
ps.point = pt
ps.header = hdr
#ps.header.stamp = hdr.stamp
print "set:"+str(ps)
self.tfl.waitForTransform(ps.header.frame_id, '/map', ps.header.stamp, rospy.Duration(3.0))
point_in_map = self.tfl.transformPoint('/map', ps)
return point_in_map
def handle_detection(self,detection):
if self.done: return
for i in range(len(detection.ids)):
pt = PointStamped()
pt.header = detection.header
pt.point.x = detection.xs[i]
pt.point.y = detection.ys[i]
pt.point.z = detection.zs[i] + detection.hs[i]
self.cylinders[detection.ids[i]].append((pt,detection.rs[i], detection.hs[i]))
self.num_detections += 1
def callback(data):
#height = data.differential_height
height = data.height
rospy.loginfo(rospy.get_caller_id() + "Pressure: %f", height)
pt = PointStamped()
pt.header = data.header
pt.point.z = height
pub = rospy.Publisher('pressure_height_point', PointStamped, queue_size=1)
pub.publish(pt)
def poseStampedToPointStamped(poseStamped):
"""
Converts PoseStamped to PointStamped
"""
pointStamped = PointStamped()
pointStamped.header = poseStamped.header
pointStamped.point.x = poseStamped.pose.position.x
pointStamped.point.y = poseStamped.pose.position.y
pointStamped.point.z = poseStamped.pose.position.z
return pointStamped
def move_to_point(self, pose):
pt = PointStamped()
pt.header = pose.header
pt.point = pose.pose.position
self.look_at_pub.publish(pt)
self.group.set_pose_target(pose)
self.move_to_pose_pub.publish(pose)
if not self.group.go(wait=True):
return False
return True
def location_from_cluster(cluster):
pt = cloud2np(cluster).mean(axis=0)
pt_stamped = PointStamped()
pt_stamped.header = cluster.header
pt_stamped.point.x, pt_stamped.point.y, pt_stamped.point.z = pt
try:
ptt = transform_point_stamped("/table", pt_stamped)
return np.array([ptt.point.x, ptt.point.y, 0])
except tf.Exception as e:
print "exception..."
return np.array([np.nan] * 3)
def ar_cb(self, markers):
for m in markers.markers:
self.listener.waitForTransform(self.target_frame,'/RotMarker%02d'% m.id, m.header.stamp, rospy.Duration(1.0))
self.listener.waitForTransform("/%s/ground"%self.name,m.header.frame_id, m.header.stamp, rospy.Duration(1.0))
((x,y,z),rot) = self.listener.lookupTransform(self.target_frame,'/RotMarker%02d'% m.id, m.header.stamp)
L = vstack([x,y])
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint("/%s/ground"%self.name,m_pose)
Z = vstack([m_pose.point.x,m_pose.point.y])
# TODO
self.filter.update_ar(Z,L,self.ar_precision)
def calculate_entropy(self, cov):
cov = np.array(cov)*10**10
H = PointStamped()
h = std_msgs.msg.Header()
h.stamp = rospy.Time.now()
h.frame_id = 'odom'
H.header = h
n = float(cov.shape[0])
inner = 2*math.pi*math.e
det = np.linalg.det(cov)
H.point.x = np.log(np.power(inner**n*det,0.5))
#print(n,np.power(inner**n*det,0.5))
return H
def callbackPoly(data):
global listener
polyfile = open("polygon_log.txt", 'w')
listener.waitForTransform(data.header.frame_id, "r_sole", data.header.stamp, rospy.Duration(0.5))
for p in data.polygon.points:
p_s = PointStamped()
p_s.point = p
p_s.header = data.header
p_st = listener.transformPoint('r_sole',p_s)
polyfile.write("%f %f\n" % (p_st.point.x, p_st.point.y))
rospy.loginfo("Writing Poly: %f %f",p_st.point.x, p_st.point.y);
polyfile.close()
def ar_cb(self, markers):
for m in markers.markers:
self.listener.waitForTransform(self.target_frame,'/%s/ground'% self.name, m.header.stamp, rospy.Duration(1.0))
self.listener.waitForTransform("/%s/ground"%self.name,m.header.frame_id, m.header.stamp, rospy.Duration(1.0))
((x,y,z),rot) = self.listener.lookupTransform(self.target_frame,'/%s/ground'%self.name, m.header.stamp)
euler = euler_from_quaternion(rot)
X = vstack([x,y,euler[2]])
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint("/%s/ground"%self.name,m_pose)
Z = vstack([m_pose.point.x,m_pose.point.y])
self.mapper.update_ar(Z,X,m.id,self.ar_precision)
self.mapper.publish(self.target_frame,markers.header.stamp)
def to_msg_vector(vector):
"""Convert a PyKDL Vector to a geometry_msgs PointStamped message.
:param vector: The vector to convert.
:type vector: PyKDL.Vector
:return: The converted vector/point.
:rtype: geometry_msgs.msg.PointStamped
"""
msg = PointStamped()
msg.header = vector.header
msg.point.x = vector[0]
msg.point.y = vector[1]
msg.point.z = vector[2]
return msg
def real_size_check(self,hull,header):
rect = cv2.boundingRect(hull)
#top_left = np.array([rect[0],rect[1]])
bot_left = np.array([rect[0],rect[1]+rect[3]])
bot_right = np.array([rect[0]+rect[2],rect[1]+rect[3]])
#rospy.logdebug("Top Left: %s", top_left)
#rospy.logdebug("Bot Right: %s", bot_right)
bot_left_point = PointStamped()
bot_left_point.header = copy.deepcopy(header)
bot_left_point.point.x = bot_left[0]
bot_left_point.point.y = bot_left[1]
bot_left_point.point.z = 1.0
bot_right_point = PointStamped()
bot_right_point.header = copy.deepcopy(header)
bot_right_point.point.x = bot_right[0]
bot_right_point.point.y = bot_right[1]
bot_right_point.point.z = 1.0
#rospy.logdebug("Top Left Point: %s", top_left_point)
#rospy.logdebug("Bot Right Point: %s", bot_right_point)
bot_left_ground, bot_left_odom = self.cast_ray(bot_left_point,self.tf,'bot_left')
bot_right_ground, bot_right_odom = self.cast_ray(bot_right_point,self.tf,'bot_right')
#rospy.logdebug("Top Left Ground: %s", top_left_ground)
#rospy.logdebug("Bot Right Ground: %s", bot_right_ground)
width = np.array([0.,0.])
width[0] = bot_left_ground.point.x - bot_right_ground.point.x
width[1] = bot_left_ground.point.y - bot_right_ground.point.y
rospy.logdebug("Width: %s", width)
size = scipy.linalg.norm(width)
rospy.logdebug("Size: %s", size)
return size
def ar_cb(self, markers):
for m in markers.markers:
if m.id > 32:
continue
self.listener.waitForTransform("/%s/ground"%self.name,m.header.frame_id, m.header.stamp, rospy.Duration(1.0))
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint("/%s/ground"%self.name,m_pose)
Z = vstack([m_pose.point.x,m_pose.point.y])
if self.ignore_id:
self.mapper.update_ar(Z,0,self.ar_precision)
else:
self.mapper.update_ar(Z,m.id,self.ar_precision)
self.mapper.publish(self.target_frame,markers.header.stamp)
def ar_cb(self, markers):
for m in markers.markers:
self.listener.waitForTransform(self.target_frame,'/RotMarker%02d'% m.id, m.header.stamp, rospy.Duration(1.0))
self.listener.waitForTransform("/%s/ground"%self.name,m.header.frame_id, m.header.stamp, rospy.Duration(1.0))
((x,y,z),rot) = self.listener.lookupTransform(self.target_frame,'/RotMarker%02d'% m.id, m.header.stamp)
L = vstack([x,y])
# Transform the measurement into the rover reference frame
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint("/%s/ground"%self.name,m_pose)
# Call the filter with the observed landmark
Z = vstack([m_pose.point.x,m_pose.point.y])
self.filter.update_ar(Z,L,self.ar_precision)
self.filter.publish(self.pose_pub,self.target_frame,m.header.stamp)
def callback(data):
im = bridge.imgmsg_to_cv2(data, desired_encoding='bgr8')
# im = v.undistort(im, MTX, DIST)
found, corners = find_chessboard_corners(im, SCALE)
if found:
message = BoardMessage()
# rotation and translation of board relative to camera
rvec, tvec, _ = v.solvePnPRansac(OBJP, corners, MTX, DIST)
# grab & reformat the corners and get the correct order for them
outer, _ = v.projectPoints(OUTER, rvec, tvec, MTX, DIST)
outer = np.float32(outer.reshape((4,2)))
order = corner_order(outer)
# undistort the image and put it in the message
M = v.getPerspectiveTransform(outer[order], DSTPTS)
un = v.warpPerspective(im, M, IMSIZE)
message.unperspective = bridge.cv2_to_imgmsg(un, encoding='bgr8')
message.unperspective.header.stamp = rospy.Time.now()
if PUBLISH_UNDISTORT:
impub.publish(message.unperspective)
R, _ = v.Rodrigues(rvec)
G = np.hstack([R, tvec.reshape((3,1))])
outer_c = OUTERH[order].dot(G.T)
print '\n\n==============={}================='.format(video_lock)
fields = 'topleft topright botleft botright'.split()
for i in range(4):
point = PointStamped()
point.point = Point()
point.point.x, point.point.y, point.point.z = outer_c[i]
point.header = Header()
point.header.frame_id = 'left_hand_camera'
point.header.stamp = rospy.Time(0)
p = tfl.transformPoint(BASE_FRAME, point).point
setattr(message, fields[i], p)
print [p.x, p.y, p.z]
if video_lock != 1:
pub.publish(message)
if PUBLISH_DRAWPOINTS:
v.drawChessboardCorners(im, (7,7), corners, found)
ptpub.publish(bridge.cv2_to_imgmsg(im, encoding='bgr8'))
def ar_cb(self, markers):
for m in markers.markers:
if m.id > 32:
continue
self.listener.waitForTransform(self.body_frame,m.header.frame_id, m.header.stamp, rospy.Duration(1.0))
m_pose = PointStamped()
m_pose.header = m.header
m_pose.point = m.pose.pose.position
m_pose = self.listener.transformPoint(self.body_frame,m_pose)
Z = vstack([m_pose.point.x,m_pose.point.y])
self.lock.acquire()
if self.ignore_id:
self.update_ar(Z,0,self.ar_precision)
else:
self.update_ar(Z,m.id,self.ar_precision)
self.lock.release()
def publish(self, header, pt1, pt2, depth):
pts = PointStamped()
pts.header = header
(cx, cy) = self.get_centres(pt1,pt2)
ray = self._cam_model.projectPixelTo3dRay((cx, cy))
pt = np.dot(ray, depth)
pts.point.x = pt[0]
pts.point.y = pt[1]
pts.point.z = pt[2]
#print pts
self._point_pub.publish(pts)
def transformPolygonStamped(tf_listener, frame, polygon):
transformed_polygon = PolygonStamped()
transformed_polygon.header.frame_id = frame
try:
tf_listener.waitForTransform(frame, polygon.header.frame_id, rospy.Time.now(), rospy.Duration(4.0))
old_point = PointStamped()
old_point.header = polygon.header;
for point in polygon.polygon.points:
old_point.point = point
new_point = tf_listener.transformPoint(frame, old_point)
transformed_polygon.polygon.points.append(new_point.point)
return transformed_polygon
except tf.Exception as e:
print "some tf exception happened %s" % e