Added pyrate as a direct dependency.
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pyrate/doc/source/sense/filters/extended.rst
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pyrate/doc/source/sense/filters/extended.rst
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Extended Kalman Filter
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----------------------
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.. automodule:: pyrate.sense.filters.extended
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/filters/extended_gmphd.rst
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pyrate/doc/source/sense/filters/extended_gmphd.rst
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Extended Gaussian Mixture PHD Filter
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------------------------------------
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.. automodule:: pyrate.sense.filters.extended_gmphd
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/filters/filters.rst
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pyrate/doc/source/sense/filters/filters.rst
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Filters
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-------
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The filters package provides single and multi target tracking capabilities based on Bayesian methods.
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A prime example for such a filter is the so called Kalman filter and its derivatives for nonlinear estimation.
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Additionally, the gaussian mixture probability hypothesis density (PHD) filter is provided.
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.. toctree::
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:maxdepth: 2
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:caption: Modules:
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kalman
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extended
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unscented
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gmphd
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extended_gmphd
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pyrate/doc/source/sense/filters/gmphd.rst
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pyrate/doc/source/sense/filters/gmphd.rst
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Gaussian Mixture PHD Filter
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---------------------------
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.. automodule:: pyrate.sense.filters.gmphd
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/filters/kalman.rst
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pyrate/doc/source/sense/filters/kalman.rst
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Kalman Filter
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-------------
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.. automodule:: pyrate.sense.filters.kalman
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/filters/unscented.rst
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pyrate/doc/source/sense/filters/unscented.rst
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Unscented Kalman Filter
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-----------------------
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.. automodule:: pyrate.sense.filters.unscented
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/sense.rst
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pyrate/doc/source/sense/sense.rst
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Sense
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-----
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.. toctree::
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:maxdepth: 2
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:caption: Subpackages:
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filters/filters
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smoothers/smoothers
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pyrate/doc/source/sense/smoothers/extended.rst
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pyrate/doc/source/sense/smoothers/extended.rst
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Extended RTS Smoother
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---------------------
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.. automodule:: pyrate.sense.smoothers.extended
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/smoothers/rts.rst
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pyrate/doc/source/sense/smoothers/rts.rst
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RTS Smoother
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------------
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.. automodule:: pyrate.sense.smoothers.rts
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:members:
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:undoc-members:
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:show-inheritance:
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pyrate/doc/source/sense/smoothers/smoothers.rst
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pyrate/doc/source/sense/smoothers/smoothers.rst
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Smoothers
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---------
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Smoothing is the problem of state estimation, where not only previous measurements but also future observations are part of a single estimate.
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A popular example for smoothing is the so called Rauch-Tung-Striebel (RTS) smoother, which is based on the Kalman filter and its derivatives for nonlinear estimation.
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.. toctree::
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:maxdepth: 2
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:caption: Modules:
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rts
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extended
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unscented
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pyrate/doc/source/sense/smoothers/unscented.rst
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pyrate/doc/source/sense/smoothers/unscented.rst
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Unscented RTS Smoother
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----------------------
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.. automodule:: pyrate.sense.smoothers.unscented
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:members:
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:undoc-members:
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:show-inheritance:
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