init index page

Signed-off-by: ismetatabay <[email protected]>

Author: ismetatabay

docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/.pages

@@ -1,3 +1,3 @@
 nav:
-  - evaluating-controller-performance.md
-  - evaluating-real-time-performance.md
+  - Sample tuning for campus environment: tuning-parameters
+  - Evaluation: evaluation

docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/evaluation/.pages

@@ -0,0 +1,3 @@
+nav:
+  - Evaluating the controller performance: evaluating-controller-performance
+  - Evaluating real-time performance: evaluating-real-time-performance

docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/images/evaluating-controller-performance/controller-monitor.png docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/evaluation/evaluating-controller-performance/images/evaluating-controller-performance/controller-monitor.png

@@ -15,7 +15,7 @@ If you need more detailed information about package, refer to the [control_perfo
 
 #### 2. Initialize the vehicle and send goal position to create route
 
-- If you have any problem with launching Autoware, please see the [tutorials](../../../tutorials/index.md) page.
+- If you have any problem with launching Autoware, please see the [tutorials](../../../../../tutorials/index.md) page.
 
 #### 3. Launch the control_performance_analysis package
 

docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/images/evaluating-controller-performance/export-cvs.png docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/evaluation/evaluating-controller-performance/images/evaluating-controller-performance/export-cvs.png

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+nav:
+  - index.md
+  - Tuning localization: localization-tuning

docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/images/evaluating-controller-performance/import-data.png docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/evaluation/evaluating-controller-performance/images/evaluating-controller-performance/import-data.png

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+# Sample tuning for campus environment
+
+## Introduction
+
+This section will guide you on how to fine-tune Autoware's localization, perception,
+and planning stacks for the Yıldız Technical University (YTU) campus environment.
+This document serves as your roadmap for optimizing the performance of
+Autoware within the cutting-edge capabilities of a sample university campus environment.
+Through meticulous parameter adjustments, our aim is to ensure that your
+autonomous systems operate seamlessly and efficiently in similar complex real-world scenarios.
+
+## Yıldız Technical University Campus Environment
+
+Yıldız Technical University (YTU) is located in Istanbul, Turkey,
+and it encompasses multiple campuses. One of these campuses is the
+Davutpaşa Campus, where we operate autonomous vehicles. Here is some
+general information about the YTU Davutpaşa Campus:
+
+1. **Slopes and Terrains**
+
+   YTU Davutpaşa Campus has varied topography.
+   Some areas may be flat, while others may have gentle or steep slopes.
+   These features can influence accessibility and landscaping choices.
+
+2. **Greenery and Trees**
+
+   YTU Davutpaşa Campus is typically landscaped with a variety of plants and trees. They provide aesthetic
+   appeal, shade, and contribute to the overall environment. There may be designated green spaces,
+   gardens, and courtyards.
+
+3. **Building structures**
+
+   The Davutpaşa Campus features a diverse range of buildings, ranging in size from small-scale structures
+   to more substantial edifices. These buildings will be utilized for NDT localization.
+
+<figure markdown>
+  ![ytu-campus-environment](images/ytu-campus.png){ align=center }
+  <figcaption>
+    Yıldız Technical University (YTU) campus map. 
+  </figcaption>
+</figure>
+
+## Yıldız Technical University Campus Map
+
+### Yıldız Technical University Campus Pointcloud Map
+
+Utilizing the LIO-SAM mapping package, we have effectively created a point cloud map of Yıldız
+Technical University's Davutpaşa campus. This real-time lidar-inertial odometry system has empowered
+us to achieve precision in this unique campus environment. For detailed information on how we
+constructed the point cloud map at YTU Davutpaşa, please refer to the
+[LIO-SAM page](../../creating-maps/open-source-slam/lio-sam). Additionally,
+we have converted the output map into MGRS format.
+
+<figure markdown>
+  ![ytu-campus-pcd-map](images/ytu-campus-pcd-map.png){ align=center }
+  <figcaption>
+    Yıldız Technical University (YTU) campus pointcloud map. 
+  </figcaption>
+</figure>
+
+### Yıldız Technical University Campus Lanelet2 Map
+
+We have generated a Lanelet2 HD map, incorporating regulatory elements like crosswalks,
+speed bumps, stop lines etc., tailored for the YTU campus environment. For more detailed
+information on the Lanelet2 map creation process, please refer to the [`Creating Maps` page](../../creating-maps).
+
+<figure markdown>
+  ![ytu-campus-lanelet2-map](images/ytu-campus-lanelet2-map.png){ align=center }
+  <figcaption>
+    Yıldız Technical University (YTU) campus lanelet2 map. 
+  </figcaption>
+</figure>

docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/images/evaluating-controller-performance/plot-xy.png docs/how-to-guides/integrating-autoware/tuning-parameters-and-performance/evaluation/evaluating-controller-performance/images/evaluating-controller-performance/plot-xy.png

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+# Tuning localization
+
+## Introduction