My text improperly stated that the unscented transform takes a
Gaussian as an input when of course it takes samples from any arbitrary distribution.
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@@ -290,9 +290,9 @@
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": 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truncated
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"text/plain": [
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"<matplotlib.figure.Figure at 0x260f7929a58>"
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"<matplotlib.figure.Figure at 0x18868150b38>"
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]
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},
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"metadata": {},
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@@ -349,9 +349,9 @@
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"outputs": [
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{
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"data": {
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||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f790af60>"
|
||||
"<matplotlib.figure.Figure at 0x18868138da0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -396,14 +396,14 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Difference in mean x=0.076, y=42.452\n"
|
||||
"Difference in mean x=0.001, y=43.389\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8f603c8>"
|
||||
"<matplotlib.figure.Figure at 0x18868a14a58>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -463,9 +463,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f68b2550>"
|
||||
"<matplotlib.figure.Figure at 0x1886902c5f8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -513,9 +513,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f956df98>"
|
||||
"<matplotlib.figure.Figure at 0x188689dba20>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -561,9 +561,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f94d48d0>"
|
||||
"<matplotlib.figure.Figure at 0x18868d0c1d0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -588,7 +588,7 @@
|
||||
"\n",
|
||||
"These equations should be familar - they are the constraint equations we developed above. \n",
|
||||
"\n",
|
||||
"In short, the unscented transform estimates the mean and covariance of a Gaussian passed through an arbitrary, nonlinear function and produces another Gaussian from the transformed points. I hope you can envision how we can use this to implement a nonlinear Kalman filter. "
|
||||
"In short, the unscented transform takes points sampled from some arbitary probability distribution, passes them through an arbitrary, nonlinear function and produces a Gaussian for each transformed points. I hope you can envision how we can use this to implement a nonlinear Kalman filter. Once we have Gaussians all of the mathematical apparatus we have already developed comes into play!"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -616,9 +616,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f9647630>"
|
||||
"<matplotlib.figure.Figure at 0x18868c43940>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -806,9 +806,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f68b21d0>"
|
||||
"<matplotlib.figure.Figure at 0x188671f9240>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -923,20 +923,11 @@
|
||||
"scrolled": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[[ 1.0 0.0 0.0 0.0 0.0 0.0]\n",
|
||||
" [ 0.0 0.0 1.0 0.0 0.0 0.0]\n",
|
||||
" [ 0.0 0.0 0.0 0.0 1.0 0.0]]\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f9759128>"
|
||||
"<matplotlib.figure.Figure at 0x18869aa2b70>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -986,7 +977,6 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"scrolled": false
|
||||
},
|
||||
"outputs": [],
|
||||
@@ -1047,9 +1037,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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||||
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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f95adf98>"
|
||||
"<matplotlib.figure.Figure at 0x18868c61630>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1111,9 +1101,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f9707fd0>"
|
||||
"<matplotlib.figure.Figure at 0x18868fc77b8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1153,7 +1143,6 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"scrolled": false
|
||||
},
|
||||
"outputs": [],
|
||||
@@ -1189,7 +1178,6 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"scrolled": false
|
||||
},
|
||||
"outputs": [],
|
||||
@@ -1217,7 +1205,6 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"scrolled": false
|
||||
},
|
||||
"outputs": [],
|
||||
@@ -1288,9 +1275,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f97c4f60>"
|
||||
"<matplotlib.figure.Figure at 0x18869bf0c88>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1298,9 +1285,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f97637b8>"
|
||||
"<matplotlib.figure.Figure at 0x18869c3ea20>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1308,9 +1295,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f9849b70>"
|
||||
"<matplotlib.figure.Figure at 0x18869c92588>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1393,9 +1380,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8f74fd0>"
|
||||
"<matplotlib.figure.Figure at 0x18869bf0cf8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1451,9 +1438,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def f_cv_radar(x, dt):\n",
|
||||
@@ -1495,9 +1480,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f97d5a58>"
|
||||
"<matplotlib.figure.Figure at 0x18869bc49b0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1560,9 +1545,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f97d56a0>"
|
||||
"<matplotlib.figure.Figure at 0x18868f73390>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1613,9 +1598,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def h_vel(x):\n",
|
||||
@@ -1642,9 +1625,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8dec358>"
|
||||
"<matplotlib.figure.Figure at 0x18869bf03c8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1718,9 +1701,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8d2fbe0>"
|
||||
"<matplotlib.figure.Figure at 0x18868fcc208>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1741,9 +1724,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def bearing(sensor, target_pos):\n",
|
||||
@@ -1761,9 +1742,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 26,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def measurement(A_pos, B_pos, pos):\n",
|
||||
@@ -1782,9 +1761,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def fx_VOR(x, dt):\n",
|
||||
@@ -1803,9 +1780,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"sa_pos = [-400, 0]\n",
|
||||
@@ -1833,9 +1808,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8d2f0f0>"
|
||||
"<matplotlib.figure.Figure at 0x18869bbf2b0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1904,9 +1879,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f95375f8>"
|
||||
"<matplotlib.figure.Figure at 0x1886902cef0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1949,9 +1924,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8e1c320>"
|
||||
"<matplotlib.figure.Figure at 0x188689260b8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2001,9 +1976,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260fb8973c8>"
|
||||
"<matplotlib.figure.Figure at 0x18869cd2128>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2041,9 +2016,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260fb884518>"
|
||||
"<matplotlib.figure.Figure at 0x18869d7acc0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2103,11 +2078,11 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"array([[ 0.0, 0.0],\n",
|
||||
" [ 0.173, 0.0173],\n",
|
||||
" [ 0.0, 0.172],\n",
|
||||
" [ -0.173, -0.0173],\n",
|
||||
" [ 0.0, -0.172]])"
|
||||
"array([[ 0. , 0. ],\n",
|
||||
" [ 0.173, 0.017],\n",
|
||||
" [ 0. , 0.172],\n",
|
||||
" [-0.173, -0.017],\n",
|
||||
" [ 0. , -0.172]])"
|
||||
]
|
||||
},
|
||||
"execution_count": 34,
|
||||
@@ -2209,8 +2184,8 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"array([[ 2.01, 0.122],\n",
|
||||
" [ 0.122, 2.99]])"
|
||||
"array([[2.005, 0.122],\n",
|
||||
" [0.122, 2.995]])"
|
||||
]
|
||||
},
|
||||
"execution_count": 35,
|
||||
@@ -2445,9 +2420,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f9527588>"
|
||||
"<matplotlib.figure.Figure at 0x18869e443c8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2455,9 +2430,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260fb843048>"
|
||||
"<matplotlib.figure.Figure at 0x18869ab3710>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2465,9 +2440,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
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|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f9604780>"
|
||||
"<matplotlib.figure.Figure at 0x188689413c8>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2544,9 +2519,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260fb86df28>"
|
||||
"<matplotlib.figure.Figure at 0x18869e3d6a0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2554,9 +2529,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f97c46a0>"
|
||||
"<matplotlib.figure.Figure at 0x18868c0ce80>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2564,9 +2539,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f983e400>"
|
||||
"<matplotlib.figure.Figure at 0x18868f8b710>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2608,10 +2583,10 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"sigmas: [ 0. 3. -3.]\n",
|
||||
"mean weights: [ 0.6667 0.1667 0.1667]\n",
|
||||
"cov weights: [ 2.6667 0.1667 0.1667]\n",
|
||||
"mean weights: [0.6667 0.1667 0.1667]\n",
|
||||
"cov weights: [2.6667 0.1667 0.1667]\n",
|
||||
"lambda: 2\n",
|
||||
"sum cov 3.0\n"
|
||||
"sum cov 2.9999999999999996\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -2654,10 +2629,10 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"sigmas: [ 0. 600. -600.]\n",
|
||||
"mean weights: [ 1. 0. 0.]\n",
|
||||
"mean weights: [1. 0. 0.]\n",
|
||||
"cov weights: [-39996. 0. 0.]\n",
|
||||
"lambda: 119999\n",
|
||||
"sum cov -39996.0\n"
|
||||
"sum cov -39996.00000000001\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -2698,7 +2673,7 @@
|
||||
"mean weights: [-999999. 500000. 500000.]\n",
|
||||
"cov weights: [-999996. 500000. 500000.]\n",
|
||||
"lambda: -0.999999\n",
|
||||
"sum cov 3.99999899999\n"
|
||||
"sum cov 3.9999989999923855\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -2751,9 +2726,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
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|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8d2d438>"
|
||||
"<matplotlib.figure.Figure at 0x18869b8c668>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2837,9 +2812,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 43,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from math import tan, sin, cos, sqrt\n",
|
||||
@@ -2872,9 +2845,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def fx(x, dt, u):\n",
|
||||
@@ -2943,9 +2914,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def normalize_angle(x):\n",
|
||||
@@ -2964,7 +2933,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"2.0\n"
|
||||
"1.9999999999999774\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -2982,9 +2951,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 47,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def residual_h(a, b):\n",
|
||||
@@ -3019,9 +2986,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def Hx(x, landmarks):\n",
|
||||
@@ -3052,9 +3017,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def state_mean(sigmas, Wm):\n",
|
||||
@@ -3105,9 +3068,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from filterpy.stats import plot_covariance_ellipse\n",
|
||||
@@ -3185,9 +3146,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260f8d89860>"
|
||||
"<matplotlib.figure.Figure at 0x18869cd7748>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -3197,7 +3158,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Final P: [ 0.0092 0.0187 0.0007]\n"
|
||||
"Final P: [0.0092 0.0187 0.0007]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -3229,9 +3190,7 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 52,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"landmarks = np.array([[5, 10], [10, 5], [15, 15], [20, 5],\n",
|
||||
@@ -3274,9 +3233,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260fb9140b8>"
|
||||
"<matplotlib.figure.Figure at 0x18869e480f0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -3286,7 +3245,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"final covariance [ 0.0013 0.0043 0.0004]\n"
|
||||
"final covariance [0.0013 0.0043 0.0004]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -3314,9 +3273,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x260fba4fd68>"
|
||||
"<matplotlib.figure.Figure at 0x18869e482b0>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -3326,7 +3285,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"final covariance [ 0.0026 0.0657 0.0008]\n"
|
||||
"final covariance [0.0026 0.0657 0.0008]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -3393,7 +3352,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.3"
|
||||
"version": "3.6.4"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Reference in new issue
Block a user