asr_vosk: Allow to handle keyword and command in one sentence
[ros_wild_thumper.git] / scripts / dwm1000.py
index 535d81e..b16ff9e 100755 (executable)
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: iso-8859-15 -*-
 
-VISULAIZE = False
+VISUALIZE = False
 
 import threading
 import struct
@@ -16,7 +16,7 @@ from std_msgs.msg import Float32
 from nav_msgs.msg import Odometry
 from wild_thumper.srv import DWM1000Center, DWM1000CenterResponse
 from pyshared.simple_kalman import simple_kalman
-if VISULAIZE:
+if VISUALIZE:
        import matplotlib.pyplot as plt
 
 
@@ -64,9 +64,9 @@ class DW1000(threading.Thread):
 
 class Position:
        def __init__(self):
-               R = np.matrix([[0.045, 0.5], [0.0, 0.008]])     # Varianz des Messfehlers
-               P_est = 1e-3 * np.eye(2)                        # Fehlerkovarianz
-               Q = np.matrix([[0.001, 0.0], [0.0, 0.00001]])   # Systemrauschen
+               R = np.matrix([[0.5, 0.0], [0.0, 0.2]])         # Varianz des Messfehlers
+               P_est = 1e50 * np.eye(2)                        # Fehlerkovarianz
+               Q = np.matrix([[0.001, 0.0], [0.0, 0.0001]])    # Systemrauschen
                self.filter_xy = simple_kalman(np.array([[1.0, 0.0]]).T, P_est, Q, R)
                self.speed_x = 0
                self.speed_y = 0
@@ -106,6 +106,7 @@ class Position:
                        self.filter_xy.set_measure_cov(np.matrix([[cov_00, 0.0], [0.0, cov_11]]))
                else:
                        pos = self.filter_xy.x_est
+                       self.filter_xy.P_est = np.matrix(1e50 * np.eye(2)) # reset estimate when lost
 
 
                x = pos.item((0, 0))
@@ -146,7 +147,7 @@ if __name__ == "__main__":
 
                        diff = abs(dist_left - dist_right)
                        if diff >= dist_l_r:
-                               # difference to high, correct to maximum
+                               # difference too high, correct to maximum
                                off = diff - dist_l_r + 0.01
                                if dist_left > dist_right:
                                        dist_left -= off/2
@@ -167,7 +168,7 @@ if __name__ == "__main__":
 
                                x, y = pos.filter(x, y)
 
-                               if VISULAIZE:
+                               if VISUALIZE:
                                        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)