init commit

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

docs/.pages

@@ -2,6 +2,7 @@ nav:
   - Introduction: index.md
   - installation
   - tutorials
+  - integration
   - how-to-guides
   - design
   - Reference HW: reference-hw

docs/how-to-guides/.pages

@@ -1,5 +1,5 @@
 nav:
   - index.md
-  - Integrating Autoware: integrating-autoware
+  - Open-source slam algorithms: open-source-slam
   - Training Machine Learning Models: training-machine-learning-models
   - others

docs/how-to-guides/index.md

@@ -1,8 +1,8 @@
 # How-to guides
 
-## Integrating Autoware
+## Open source slam algorithms for pointcloud mapping
 
-- [Overview](integrating-autoware/overview.md)
+- [Open Source Slam Algorithms](open-source-slam/index.md)
 
 ## Training Machine Learning Models
 

docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/.pages → docs/how-to-guides/open-source-slam/.pages

@@ -7,7 +7,6 @@ nav:
   - IA_LIO_SAM: ia-lio-slam
   - iscloam: iscloam
   - LeGO-LOAM-BOR: lego-loam-bor
-  - LIO-SAM: lio-sam
   - Optimized-SC-F-LOAM: optimized-sc-f-loam
   - SC-A-LOAM: sc-a-loam
   - SC-LeGO-LOAM: sc-lego-loam

docs/how-to-guides/integrating-autoware/.pages → docs/integration/.pages

@@ -1,5 +1,5 @@
 nav:
-  - overview.md
+  - index.md
   - 1. Creating your Autoware repositories: creating-your-autoware-repositories
   - 2. Creating vehicle and sensor model: creating-vehicle-and-sensor-model
   - 3. Creating vehicle interface: creating-vehicle-interface-package

docs/how-to-guides/integrating-autoware/creating-maps/.pages → docs/integration/creating-maps/.pages

@@ -1,6 +1,6 @@
 nav:
   - index.md
-  - Open-source SLAM algorithms: open-source-slam
+  - Creating pointcloud map with LIO-SAM: lio-sam
   - Converting UTM map to MGRS map: converting-utm-to-mgrs-map
   - Pointcloud map downsampling: pointcloud-map-downsampling
   - Creating a vector map: creating-vector-map

docs/how-to-guides/integrating-autoware/creating-maps/index.md → docs/integration/creating-maps/index.md

@@ -6,7 +6,7 @@ This page explains how users can create maps that can be used for Autoware.
 
 ## Creating a point cloud map
 
-Traditionally, a Mobile Mapping System (MMS) is used in order to create highly accurate large-scale point cloud maps. However, since a MMS requires high-end sensors for precise positioning, its operational cost can be very expensive and may not be suitable for a relatively small driving environment. Alternatively, a Simultaneous Localization And Mapping (SLAM) algorithm can be used to create a point cloud map from recorded LiDAR scans. Some of the useful open-source SLAM implementations are listed in this [page](open-source-slam/index.md).
+Traditionally, a Mobile Mapping System (MMS) is used in order to create highly accurate large-scale point cloud maps. However, since a MMS requires high-end sensors for precise positioning, its operational cost can be very expensive and may not be suitable for a relatively small driving environment. Alternatively, a Simultaneous Localization And Mapping (SLAM) algorithm can be used to create a point cloud map from recorded LiDAR scans. Some of the useful open-source SLAM implementations are listed in this [page](../../how-to-guides/open-source-slam/index.md).
 
 If you prefer proprietary software that is easy to use, you can try a fully automatic mapping tool from [MAP IV, Inc.](https://www.map4.jp/), [_MapIV Engine_](https://www.map4.jp/solutions/mapping-localization/map4-engine/). They currently provide a trial license for Autoware users free of charge.
 

docs/how-to-guides/integrating-autoware/creating-vehicle-interface-package/.pages → docs/integration/creating-vehicle-interface-package/.pages

@@ -1,5 +1,5 @@
 nav:
-  - Vehicle interface overview: vehicle-interface.md
+  - index.md
   - creating-vehicle-interface.md
   - ackermann-kinematic-model.md
   - customizing-for-differential-drive-model.md

docs/how-to-guides/integrating-autoware/creating-vehicle-interface-package/vehicle-interface.md → docs/integration/creating-vehicle-interface-package/index.md

@@ -1,4 +1,4 @@
-# Vehicle interface
+# Vehicle interface overview
 
 ## What is the vehicle interface?
 

docs/integration/index.md

@@ -0,0 +1,39 @@
+# Overview
+
+## Requirement: prepare your real vehicle hardware
+
+Prerequisites for the vehicle:
+
+- An onboard computer that satisfies the [Autoware installation prerequisites](../../installation/autoware/source-installation.md#prerequisites)
+- The following devices attached
+  - Drive-by-wire interface
+  - LiDAR
+  - Optional: Inertial measurement unit
+  - Optional: Camera
+  - Optional: GNSS
+
+## 1. Creating your Autoware meta-repository
+
+Please follow [Creating Autoware repositories](./creating-your-autoware-repositories/index.md).
+
+## 2. Creating your vehicle and sensor description
+
+Please follow [Creating vehicle and sensor models](./creating-vehicle-and-sensor-model).
+
+## 3. Create a `vehicle_interface` package
+
+Please follow [Creating vehicle interface](./creating-vehicle-interface-package/creating-vehicle-interface.md).
+
+## 4. Create maps
+
+Please follow [Creating maps](./creating-maps).
+
+## 5. Launch Autoware
+
+Please follow [Launch Autoware](./launch-autoware).
+
+## 6. Tune parameters for your vehicle & environment
+
+!!! warning
+
+    Under construction