daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Added code for ILS.

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The description is not complete, but we have an implementation
of the iterated least squares.
This commit is contained in:
Roger Labbe 2015-02-27 21:21:54 -08:00
parent b838bd1a10
commit 8fc4d99fc3
3 changed files with 341 additions and 99 deletions
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413
10_Unscented_Kalman_Filter.ipynb
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File diff suppressed because one or more lines are too long

9
book_format.py
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@ -52,7 +52,14 @@ def figsize(x,y):
yield
reset_axis()
@contextmanager
def numpy_precision(precision):
old = np.get_printoptions()['precision']
np.set_printoptions(precision=precision)
yield
np.set_printoptions(old)
def _decode_list(data):
rv = []
for item in data:

18
code/ukf_internal.py
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@ -30,16 +30,16 @@ def show_two_sensor_bearing():
ax = fig.gca()
plt.axis('equal')
plt.xlim((-10,10))
plt.ylim((-10,10))
#plt.xlim((-10,10))
plt.ylim((-6,6))
plt.plot ([-4,0], [0,3], c='#004080')
plt.plot ([4,0], [0,3], c='#E24A33')
plt.text(-4, -.5, "A", fontsize=16, horizontalalignment='center')
plt.text(4, -.5, "B", fontsize=16, horizontalalignment='center')
ax.add_artist(circle1)
ax.add_artist(circle2)
ax.add_patch(circle1)
ax.add_patch(circle2)
plt.show()
@ -51,21 +51,11 @@ def show_three_gps():
fig = plt.gcf()
ax = fig.gca()
# plt.ylim((-10,10))
#plt.plot ([-4,0], [0,3], c='#004080')
#plt.plot ([4,0], [0,3], c='#E24A33')
#plt.text(-4, -.5, "A", fontsize=16, horizontalalignment='center')
#plt.text(4, -.5, "B", fontsize=16, horizontalalignment='center')
ax.add_patch(circle1)
ax.add_patch(circle2)
ax.add_patch(circle3)
plt.axis('equal')
#ax.set_xlim(-15,15)
#ax.set_ylim(-15,15)
plt.show()