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Commit 8d881a86 authored by Moritz Klischat's avatar Moritz Klischat
Browse files

updated paths

parent d2551aa5
......@@ -36,7 +36,7 @@ Later in the Jupyter Notebook, you should select this kernel so that everything
This software has three main dependencies to install.
### 1. CommonRoad
Go to folder /primitive_planner/commonRoad_root/tools/commonroad_io/Python and install the commonroad environment:
Go to folder commonRoad_root/tools/commonroad_io/Python and install the commonroad environment:
```sh
$ conda install networkx
$ python setup.py install
......@@ -44,14 +44,14 @@ Go to folder /primitive_planner/commonRoad_root/tools/commonroad_io/Python and i
### 2. CommonRoad-Collision-Checker
Go to folder /primitive_planner/commonRoad_root/tools/commonroad-collision-checker/ and follow the Readme file.
Go to folder commonRoad_root/tools/commonroad-collision-checker/ and follow the Readme file.
### 3. Boundary
Go to folder /primitive_planner/commonRoad_root/tools/ and follow the Readme file. Alternatively, you can also use the second method suggested in the troubleshoot.
Go to folder commonRoad_root/tools/ and follow the Readme file. Alternatively, you can also use the second method suggested in the troubleshoot.
## How to use
Go to /primitive_planner/motionAutomata/notebooks and start Jupyter:
Go to motionAutomata/notebooks and start Jupyter:
```sh
$ jupyter notebook
```
......@@ -66,13 +66,13 @@ In case that the jupyter widget is not working (section: Visualize planned traje
## Implement your own search algorithm
Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
```python
def search_alg(self, startSuccessor, maxTreeDepth, status)
```
There are already 2 search algorithms (A star and Greedy-best-first search) implemented as examples for you. Please check the first cell of the notebook to see how to use them.
There are already 2 search algorithms (A star and Greedy-best-first search) implemented as examples for you. Please check the first cell of the notebook to see how to use them.
......
......@@ -103,7 +103,7 @@ In case that the jupyter widget is not working (section: Visualize planned traje
Implement your own search algorithm
====================================
Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
.. code-block:: python
......
......@@ -270,7 +270,7 @@
</div>
<div class="section" id="implement-your-own-search-algorithm">
<h2>Implement your own search algorithm<a class="headerlink" href="#implement-your-own-search-algorithm" title="Permalink to this headline"></a></h2>
<p>Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:</p>
<p>Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">search_alg</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">startSuccessor</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">MotionPrimitive</span><span class="p">],</span> <span class="n">maxTreeDepth</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">status</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span>
</pre></div>
</div>
......
......@@ -103,7 +103,7 @@ In case that the jupyter widget is not working (section: Visualize planned traje
Implement your own search algorithm
====================================
Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
.. code-block:: python
......
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