From d0c13eed893ea8d50dd8f6471af5a19c625d7842 Mon Sep 17 00:00:00 2001 From: Erik Andresen Date: Sun, 8 Jul 2018 10:34:10 +0200 Subject: [PATCH] dwm1000: Ignore outdated distance values --- scripts/dwm1000.py | 105 ++++++++++++++++++++++++++++----------------- 1 file changed, 65 insertions(+), 40 deletions(-) diff --git a/scripts/dwm1000.py b/scripts/dwm1000.py index d36a5d2..a1dac53 100755 --- a/scripts/dwm1000.py +++ b/scripts/dwm1000.py @@ -9,6 +9,7 @@ import rospy import tf import numpy as np from math import * +from datetime import datetime from i2c import i2c from time import sleep from std_msgs.msg import Float32 @@ -48,6 +49,7 @@ class DW1000(threading.Thread): self.offset = offset self.addr = addr self.name = name + self.last_update = datetime.min self.pub = rospy.Publisher(name, Float32, queue_size=16) @@ -62,6 +64,12 @@ class DW1000(threading.Thread): def distance(self): return self.dist + # Returns each distance only if current + def distance_valid(self): + if (datetime.now() - self.last_update).seconds < 1: + return self.dist + return None + def run(self): last_val = 10 while True: @@ -70,6 +78,7 @@ class DW1000(threading.Thread): print "Ignoring values too far apart %s: %.2f - %.2f" % (self.name, val, last_val) elif not isnan(val): self.dist = val + self.offset + self.last_update = datetime.now() self.pub.publish(self.distance()) last_val = val sleep(0.1) @@ -97,6 +106,10 @@ class Position: self.speed_y = msg.twist.twist.linear.y self.speed_z = msg.twist.twist.angular.z + """ + TODO: + - variance of kalman should be dependant on distance + """ def filter(self, x, y): # Correct estimation with speed current_time = rospy.Time.now() @@ -113,9 +126,13 @@ class Position: self.filter_x.x_est = pos[0] self.filter_y.x_est = pos[1] - # run kalman - x = self.filter_x.run(x) - y = self.filter_y.run(y) + # run kalman if new measurements are valid + if x != None and y != None: + x = self.filter_x.run(x) + y = self.filter_y.run(y) + else: + x = self.filter_x.x_est + y = self.filter_y.x_est self.last_time = current_time return x,y @@ -123,49 +140,57 @@ class Position: if __name__ == "__main__": rospy.init_node('DW1000') - dwleft = DW1000("uwb_dist_left", 0xc2, +0.0) - dwright = DW1000("uwb_dist_right", 0xc0, -0.0) + dwleft = DW1000("uwb_dist_left", 0xc2, +0.02) + dwright = DW1000("uwb_dist_right", 0xc0, -0.02) dist_l_r = 0.285 rate = rospy.Rate(10) pos = Position() tf_broadcaster = tf.broadcaster.TransformBroadcaster() while not rospy.is_shutdown() and dwleft.is_alive() and dwright.is_alive(): - dist_left = dwleft.distance() - dist_right = dwright.distance() - dir = "left" if (dist_left < dist_right) else "right" - - diff = abs(dist_left - dist_right) - if diff >= dist_l_r: - # difference to high, correct to maximum - off = diff - dist_l_r + 0.01 - if dist_left > dist_right: - dist_left -= off/2 - dist_right += off/2 + dist_left = dwleft.distance_valid() + dist_right = dwright.distance_valid() + if dist_left == None or dist_right == None: + print "no valid sensor update" + # run kalman prediction only + pos.filter(None, None) + else: + dir = "left" if (dist_left < dist_right) else "right" + + diff = abs(dist_left - dist_right) + if diff >= dist_l_r: + # difference to high, correct to maximum + off = diff - dist_l_r + 0.01 + if dist_left > dist_right: + dist_left -= off/2 + dist_right += off/2 + else: + dist_left += off/2 + dist_right -= off/2 + print "%.2f %.2f %.2f %.2f %s" % (dwleft.distance(), dwright.distance(), dist_left, dist_right, dir) + + a_r = (-dist_right**2 + dist_left**2 - dist_l_r**2) / (-2*dist_l_r) + x = dist_l_r/2 - a_r + t = dist_right**2 - a_r**2 + if t >= 0: + y = sqrt(t) + print x,y + # Rotate 90 deg + x, y = (y, -x) + + x, y = pos.filter(x, y) + tf_broadcaster.sendTransform((x, y, 0.0), (0, 0, 0, 1), rospy.Time.now(), "uwb_beacon", "base_footprint") + + if VISULAIZE: + circle_left = plt.Circle((-dist_l_r/2, 0), dwleft.distance, color='red', fill=False) + circle_right = plt.Circle((dist_l_r/2, 0), dwright.distance, color='green', fill=False) + plt.gca().add_patch(circle_left) + plt.gca().add_patch(circle_right) + plt.grid(True) + plt.axis('scaled') + plt.show() else: - dist_left += off/2 - dist_right -= off/2 - print "%.2f %.2f %.2f %.2f %s" % (dwleft.distance(), dwright.distance(), dist_left, dist_right, dir) - - a_r = (-dist_right**2 + dist_left**2 - dist_l_r**2) / (-2*dist_l_r) - x = dist_l_r/2 - a_r - t = dist_right**2 - a_r**2 - if t >= 0: - y = sqrt(t) - print x,y - # Rotate 90 deg - x, y = (y, -x) - - x, y = pos.filter(x, y) - tf_broadcaster.sendTransform((x, y, 0.0), (0, 0, 0, 1), rospy.Time.now(), "uwb_beacon", "base_footprint") - - if VISULAIZE: - circle_left = plt.Circle((-dist_l_r/2, 0), dwleft.distance, color='red', fill=False) - circle_right = plt.Circle((dist_l_r/2, 0), dwright.distance, color='green', fill=False) - plt.gca().add_patch(circle_left) - plt.gca().add_patch(circle_right) - plt.grid(True) - plt.axis('scaled') - plt.show() + # No current position, still need up update kalman prediction + pos.filter(None, None) rate.sleep() -- 2.39.5