add @ operator instead of dot function

This commit is contained in:
Atsushi Sakai
2018-11-18 08:32:42 +09:00
parent 1ad025ae7e
commit 7560cbdca8
2 changed files with 59 additions and 11 deletions

View File

@@ -62,7 +62,7 @@ def motion_model(x, u):
[0.0, DT],
[1.0, 0.0]])
x = F.dot(x) + B.dot(u)
x = F@x + B@u
return x
@@ -74,7 +74,7 @@ def observation_model(x):
[0, 1, 0, 0]
])
z = H.dot(x)
z = H@x
return z
@@ -120,16 +120,16 @@ def ekf_estimation(xEst, PEst, z, u):
# Predict
xPred = motion_model(xEst, u)
jF = jacobF(xPred, u)
PPred = jF.dot(PEst).dot(jF.T) + R
PPred = jF@PEst@jF.T + R
# Update
jH = jacobH(xPred)
zPred = observation_model(xPred)
y = z.T - zPred
S = jH.dot(PPred).dot(jH.T) + Q
K = PPred.dot(jH.T).dot(np.linalg.inv(S))
xEst = xPred + K.dot(y)
PEst = (np.eye(len(xEst)) - K.dot(jH)).dot(PPred)
S = jH@PPred@jH.T + Q
K = PPred@jH.T@np.linalg.inv(S)
xEst = xPred + K@y
PEst = (np.eye(len(xEst)) - K@jH)@PPred
return xEst, PEst
@@ -153,7 +153,7 @@ def plot_covariance_ellipse(xEst, PEst):
angle = math.atan2(eigvec[bigind, 1], eigvec[bigind, 0])
R = np.array([[math.cos(angle), math.sin(angle)],
[-math.sin(angle), math.cos(angle)]])
fx = R.dot(np.array([[x, y]]))
fx = R@(np.array([x, y]))
px = np.array(fx[0, :] + xEst[0, 0]).flatten()
py = np.array(fx[1, :] + xEst[1, 0]).flatten()
plt.plot(px, py, "--r")

View File

@@ -25,7 +25,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Filter Design\n",
"### Filter design\n",
"\n",
"In this simulation, the robot has a state vector includes 4 states at time $t$.\n",
"\n",
@@ -33,7 +33,7 @@
"\n",
"x, y are a 2D x-y position, $\\theta$ is orientation, and v is velocity.\n",
"\n",
"In the code, xEst means the state vector. [code](https://github.com/AtsushiSakai/PythonRobotics/blob/916b4382de090de29f54538b356cef1c811aacce/Localization/extended_kalman_filter/extended_kalman_filter.py#L168)\n",
"In the code, \"xEst\" means the state vector. [code](https://github.com/AtsushiSakai/PythonRobotics/blob/916b4382de090de29f54538b356cef1c811aacce/Localization/extended_kalman_filter/extended_kalman_filter.py#L168)\n",
"\n",
" \n",
"\n",
@@ -49,7 +49,7 @@
"\n",
"The input and observation vector includes sensor noise.\n",
"\n",
"In the code, observation function generates the input and observation vector [code](https://github.com/AtsushiSakai/PythonRobotics/blob/916b4382de090de29f54538b356cef1c811aacce/Localization/extended_kalman_filter/extended_kalman_filter.py#L34-L50)\n",
"In the code, \"observation\" function generates the input and observation vector with noise [code](https://github.com/AtsushiSakai/PythonRobotics/blob/916b4382de090de29f54538b356cef1c811aacce/Localization/extended_kalman_filter/extended_kalman_filter.py#L34-L50)\n",
"\n",
"\n",
"\n",
@@ -58,6 +58,54 @@
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Motion Model\n",
"\n",
"The robot model is \n",
"\n",
"$$ \\dot{x} = vcos(\\phi)$$\n",
"\n",
"$$ \\dot{y} = vsin((\\phi)$$\n",
"\n",
"$$ \\dot{\\phi} = \\omega$$\n",
"\n",
"\n",
"So, the motion model is\n",
"\n",
"$$\\textbf{x}_{t+1} = F\\textbf{x}+B\\textbf{u}$$\n",
"\n",
"where\n",
"\n",
"$\\begin{equation*}\n",
"F=\n",
"\\begin{bmatrix}\n",
"1 & 0 & 0 & 0\\\\\n",
"0 & 1 & 0 & 0\\\\\n",
"0 & 0 & 1 & 0 \\\\\n",
"0 & 0 & 0 & 0 \\\\\n",
"\\end{bmatrix}\n",
"\\end{equation*}$\n",
"\n",
"$\\begin{equation*}\n",
"B=\n",
"\\begin{bmatrix}\n",
"sin(\\phi)dt & 0\\\\\n",
"cos(\\phi)dt & 0\\\\\n",
"0 & dt\\\\\n",
"1 & 0\\\\\n",
"\\end{bmatrix}\n",
"\\end{equation*}$\n",
"\n",
"$dt$ is a time interval.\n",
"\n",
"This is implemented at [code](https://github.com/AtsushiSakai/PythonRobotics/blob/916b4382de090de29f54538b356cef1c811aacce/Localization/extended_kalman_filter/extended_kalman_filter.py#L53-L67)\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},