Code files
kf.zip 63 Kb |
All code necessary to run the Kalman Filter. Includes:
- kf.m - the main script. With all these files in the same
directory, you can run the kalman filter by running kf.
- show.m - script to plot the ground truth and localized paths,
along with the beacon positions, after running kf.m.
- showDR.m - same as show, but also plots the path
from dead reckoning.
- errors.m - script to compute several error statistics about
the localized path. See below for a description of the
error statistics.
- several other functions called by these scripts.
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Localization Results
The error stats considered here are:
- Cross-Track Error (XTE) -- the component of error
orthogonal to the true robot path
- Along-Track Error (ATE) -- the component of error
tangential to the path
The errors.m script also computes
- Cartesian error, based on the Cartesian distance between the true
position and the estimate at each point in time.
Data Set A1 |
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Error Statistics:
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XTE |
ATE |
Mean Absolute |
0.5927m |
0.4905m |
Maximum |
2.1526m |
2.2027m |
Standard Deviation |
0.4137m |
0.3686m |
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Data Set A2 |
|
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Error Statistics:
| |
XTE |
ATE |
Mean Absolute |
0.6077m |
0.5433m |
Maximum |
1.7471m |
1.6905m |
Standard Deviation |
0.3996m |
0.3653m |
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Data Set B1 |
|
 |
Error Statistics:
| |
XTE |
ATE |
Mean Absolute |
4.8993m |
5.5533m |
Maximum |
14.3326m |
15.8426m |
Standard Deviation |
2.9577m |
3.7952m |
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Data Set B2 |
|
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Error Statistics:
| |
XTE |
ATE |
Mean Absolute |
0.6880m |
0.5885m |
Maximum |
2.6127m |
2.9487m |
Standard Deviation |
0.4968m |
0.4833m |
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Data Set C1 |
|
 |
Error Statistics:
| |
XTE |
ATE |
Mean Absolute |
0.5539m |
0.3976m |
Maximum |
1.9033m |
2.0447m |
Standard Deviation |
0.4173m |
0.3558m |
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Data Set C2 |
|
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Error Statistics:
| |
XTE |
ATE |
Mean Absolute |
0.2827m |
0.2568m |
Maximum |
0.7672m |
0.8391m |
Standard Deviation |
0.1717m |
0.1975m |
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Data Set C3 |
|
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Error Statistics:
| |
XTE |
ATE |
Mean Absolute |
0.2726m |
0.3249m |
Maximum |
1.4054m |
2.9122m |
Standard Deviation |
0.2473m |
0.2788m |
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