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Re-architecture document structure (#669)

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* Rearchitecture document structure

* Rearchitecture document structure

* Rearchitecture document structure

* Rearchitecture document structure

* Rearchitecture document structure

* Rearchitecture document structure

* Rearchitecture document structure
This commit is contained in:
Atsushi Sakai
2022-05-07 15:21:03 +09:00
committed by GitHub
parent 32b545fe7c
commit d74a91e062
76 changed files with 167 additions and 132 deletions
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0
docs/modules/mapping/circle_fitting/circle_fitting.rst → docs/modules/mapping/circle_fitting/circle_fitting_main.rst
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docs/modules/mapping/gaussian_grid_map/gaussian_grid_map.rst → docs/modules/mapping/gaussian_grid_map/gaussian_grid_map_main.rst
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docs/modules/mapping/k_means_object_clustering/k_means_object_clustering.rst → docs/modules/mapping/k_means_object_clustering/k_means_object_clustering_main.rst
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docs/modules/mapping/lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial.rst → docs/modules/mapping/lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial_main.rst
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@@ -16,7 +16,7 @@ a ``numpy array``, and numbers close to 1 means the cell is occupied
free (*marked with green*). The grid has the ability to represent
unknown (unobserved) areas, which are close to 0.5.
.. figure:: lidar_to_grid_map_tutorial/grid_map_example.png
.. figure:: grid_map_example.png
In order to construct the grid map from the measurement we need to
discretise the values. But, first let’s need to ``import`` some
@@ -68,7 +68,7 @@ From the distances and the angles it is easy to determine the ``x`` and
.. image:: lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial_5_0.png
.. image:: lidar_to_grid_map_tutorial_5_0.png
The ``lidar_to_grid_map.py`` contains handy functions which can used to
@@ -89,7 +89,7 @@ map. Let’s see how this works.
.. image:: lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial_7_0.png
.. image:: lidar_to_grid_map_tutorial_7_0.png
.. code:: ipython3
@@ -106,7 +106,7 @@ map. Let’s see how this works.
.. image:: lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial_8_0.png
.. image:: lidar_to_grid_map_tutorial_8_0.png
To fill empty areas, a queue-based algorithm can be used that can be
@@ -163,7 +163,7 @@ from a center point (e.g. (10, 20)) with zeros:
.. image:: lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial_12_0.png
.. image:: lidar_to_grid_map_tutorial_12_0.png
Let’s use this flood fill on real data:
@@ -194,5 +194,5 @@ Let’s use this flood fill on real data:
.. image:: lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial_14_1.png
.. image:: lidar_to_grid_map_tutorial_14_1.png

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docs/modules/mapping/mapping_main.rst
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@@ -2,11 +2,14 @@
Mapping
=======
.. toctree::
:maxdepth: 2
:caption: Contents
.. include:: gaussian_grid_map/gaussian_grid_map.rst
.. include:: ray_casting_grid_map/ray_casting_grid_map.rst
.. include:: lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial.rst
.. include:: k_means_object_clustering/k_means_object_clustering.rst
.. include:: circle_fitting/circle_fitting.rst
.. include:: rectangle_fitting/rectangle_fitting.rst
gaussian_grid_map/gaussian_grid_map
ray_casting_grid_map/ray_casting_grid_map
lidar_to_grid_map_tutorial/lidar_to_grid_map_tutorial
k_means_object_clustering/k_means_object_clustering
circle_fitting/circle_fitting
rectangle_fitting/rectangle_fitting

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docs/modules/mapping/ray_casting_grid_map/ray_casting_grid_map.rst → docs/modules/mapping/ray_casting_grid_map/ray_casting_grid_map_main.rst
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docs/modules/mapping/rectangle_fitting/rectangle_fitting.rst → docs/modules/mapping/rectangle_fitting/rectangle_fitting_main.rst
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