class BallEstimator(object):
def __init__(self):
self.Vs = DESP(0.4)
self.Ps = DESP(0.7)
self.velocity = np.array([0., 0.])
def getPos(self, T=0):
return self.Ps.predict(T)
def getVelocity(self):
return self.velocity
def update(self, balls, dt):
logging.debug('Predicted ball position: %s', pos2string(self.getPos()))
pos = self.getPos()
if len(balls) > 0:
def ball_dist(x):
return dist(self.getPos(), entCenter(x))
balls_sorted = sorted(balls, key=ball_dist)
best_match = balls_sorted[0]
pos = entCenter(best_match)
self.Ps.update(pos)
self.Vs.update(pos)
self.velocity = self.Vs.predict(1. / dt) - pos
class BallEstimator(object):
def __init__(self):
self.Vs = DESP(0.4)
self.Ps = DESP(0.7)
self.velocity = np.array([0.,0.])
def getPos(self, T=0):
return self.Ps.predict(T)
def getVelocity(self):
return self.velocity
def update(self, balls, dt):
logging.debug( 'Predicted ball position: %s',
pos2string(self.getPos()) )
pos = self.getPos()
if len(balls) > 0:
def ball_dist(x):
return dist( self.getPos(), entCenter(x) )
balls_sorted = sorted( balls, key=ball_dist )
best_match = balls_sorted[0]
pos = entCenter(best_match)
self.Ps.update(pos)
self.Vs.update(pos)
self.velocity = self.Vs.predict(1./dt) - pos
class RobotEstimator(object):
def __init__(self):
self.Ps = DESP(0.4)
self.Vs = DESP(0.5)
self.orientation = np.array([0., 0.])
self.velocity = np.array([0., 0.])
def getOrientation(self):
X, Y = self.orientation
return atan2(Y, X)
def getPos(self, T=0):
return self.Ps.predict(T)
def getVelocity(self):
return self.velocity
def update(self, robots, dt):
logging.debug('Predicted robot position: %s',
pos2string(self.getPos()))
pos = self.getPos()
if len(robots) > 0 and robots[0] is not None:
def robot_dist(x):
return dist(self.getPos(), entCenter(x))
robots_sorted = sorted(robots, key=robot_dist)
best_match = robots_sorted[0]
pos = entCenter(best_match)
if 'orient' in best_match:
angle = best_match['orient']
self.orientation[:] = cos(angle), sin(angle)
self.Ps.update(pos)
self.Vs.update(pos)
self.velocity = self.Vs.predict(1. / dt) - pos
class RobotEstimator(object):
def __init__(self):
self.Ps = DESP(0.4)
self.Vs = DESP(0.5)
self.orientation = np.array([0.,0.])
self.velocity = np.array([0.,0.])
def getOrientation(self):
X,Y = self.orientation
return atan2(Y,X)
def getPos(self, T=0):
return self.Ps.predict(T)
def getVelocity(self):
return self.velocity
def update(self, robots, dt):
logging.debug( 'Predicted robot position: %s',
pos2string(self.getPos()) )
pos = self.getPos()
if len(robots) > 0 and robots[0] is not None:
def robot_dist(x):
return dist( self.getPos(), entCenter(x) )
robots_sorted = sorted( robots, key=robot_dist )
best_match = robots_sorted[0]
pos = entCenter(best_match)
if 'orient' in best_match:
angle = best_match['orient']
self.orientation[:] = cos(angle), sin(angle)
self.Ps.update(pos)
self.Vs.update(pos)
self.velocity = self.Vs.predict(1./dt) - pos
def __init__(self):
self.Ps = DESP(0.4)
self.Vs = DESP(0.5)
self.orientation = np.array([0., 0.])
self.velocity = np.array([0., 0.])
def __init__(self):
self.Ps = DESP(0.4)
self.Vs = DESP(0.5)
self.orientation = np.array([0.,0.])
self.velocity = np.array([0.,0.])
def __init__(self):
self.Vs = DESP(0.4)
self.Ps = DESP(0.7)
self.velocity = np.array([0., 0.])
def __init__(self):
self.Vs = DESP(0.4)
self.Ps = DESP(0.7)
self.velocity = np.array([0.,0.])
