commit
1acfb6ca28
|
@ -1 +1,3 @@
|
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db/*.db
|
||||
doxygen/html/
|
||||
site/
|
|
@ -0,0 +1,7 @@
|
|||
nav:
|
||||
- Introduction: index.md
|
||||
- installation
|
||||
- tutorials
|
||||
- how-to-guides
|
||||
- design
|
||||
- support
|
|
@ -0,0 +1,2 @@
|
|||
nav:
|
||||
- index.md
|
|
@ -0,0 +1 @@
|
|||
# Design
|
|
@ -0,0 +1,2 @@
|
|||
nav:
|
||||
- index.md
|
|
@ -0,0 +1 @@
|
|||
# How-to-guides
|
|
@ -0,0 +1,16 @@
|
|||
# AutowareV2X Documentation
|
||||
|
||||
## About AutowareV2X
|
||||
|
||||
AutowareV2X is an open-source module that can be added onto the newest [Autoware.universe](https://github.com/autowarefoundation/autoware) to enable V2X communication.
|
||||
|
||||
It utilizes [Vanetza](https://github.com/riebl/vanetza) as the protocol suite for ETSI C-ITS standards.
|
||||
|
||||
We have also provided a working example of a CPM application, where Collective Perception Messages can be used to exchange perception information in Autoware.
|
||||
|
||||
## Getting started
|
||||
|
||||
- [Installation](/installation) pages explain the installation steps of AutowareV2X and its prerequisites.
|
||||
- [Tutorials](/tutorials) pages provide several tutorials to follow after installation.
|
||||
- [Design](/design) pages explain the design concept and architecture of AutowareV2X.
|
||||
- [Support](/support) pages are the place to go if you need additional help.
|
|
@ -0,0 +1,3 @@
|
|||
nav:
|
||||
- index.md
|
||||
- docker-installation.md
|
|
@ -0,0 +1,63 @@
|
|||
# Docker Installation
|
||||
|
||||
In order to run the simulations explained in the [Tutorials](/tutorials) section, you will need to proceed with the Docker installation.
|
||||
|
||||
## Installing Autoware (Docker version)
|
||||
|
||||
For the newest documentation for the Docker installation of Autoware, see their [official documentation](https://autowarefoundation.github.io/autoware-documentation/main/installation/autoware/docker-installation/).
|
||||
|
||||
In a nutshell, the following commands should work:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/autowarefoundation/autoware.git autoware_docker
|
||||
cd autoware_docker
|
||||
|
||||
# Install dependencies using Ansible
|
||||
./setup-dev-env.sh docker
|
||||
|
||||
# Make directory to store maps
|
||||
mkdir ~/autoware_map
|
||||
|
||||
# Launch Autoware container
|
||||
rocker --nvidia --x11 --user --volume $HOME/autoware_docker --volume $HOME/autoware_map -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
|
||||
```
|
||||
|
||||
## Adding AutowareV2X
|
||||
|
||||
From here, run commands inside the container.
|
||||
|
||||
1. Move into `autoware_docker` directory.
|
||||
```bash
|
||||
cd autoware_docker
|
||||
```
|
||||
|
||||
2. Edit the `autoware.repos` file and add the following two repositories to the end.
|
||||
```
|
||||
v2x/autoware_v2x:
|
||||
type: git
|
||||
url: git@github.com:tlab-wide/autoware_v2x.git
|
||||
version: main
|
||||
v2x/vanetza:
|
||||
type: git
|
||||
url: git@github.com:tlab-wide/vanetza.git
|
||||
version: socktap-cpm-tr103562
|
||||
|
||||
```
|
||||
|
||||
3. Update the repository
|
||||
```
|
||||
vcs import src < autoware.repos
|
||||
vcs pull src
|
||||
```
|
||||
|
||||
4. Install dependent ROS packages
|
||||
```bash
|
||||
sudo apt update
|
||||
rosdep update
|
||||
rosdep install --from-paths . --ignore-src --rosdistro $ROS_DISTRO
|
||||
```
|
||||
|
||||
5. Build the workspace
|
||||
```
|
||||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release
|
||||
```
|
|
@ -0,0 +1,68 @@
|
|||
# Installing AutowareV2X
|
||||
|
||||
AutowareV2X is used as an add-on module to the open-source autonomous driving stack called [Autoware](https://autowarefoundation.github.io/autoware-documentation/main/). Therefore, in order to properly use AutowareV2X, Autoware must first be installed on the system.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- OS
|
||||
- Ubuntu 20.04
|
||||
- Ubuntu 22.04
|
||||
- ROS
|
||||
- ROS2 Galactic
|
||||
|
||||
## Installing Autoware
|
||||
|
||||
Refer to the [Official Autoware Documentation](https://autowarefoundation.github.io/autoware-documentation/main/installation/autoware/source-installation/) for the newest installation procedures. In a nutshell, you can run the following commands:
|
||||
|
||||
```bash
|
||||
# Clone repository
|
||||
git clone https://github.com/autowarefoundation/autoware.git
|
||||
cd autoware
|
||||
|
||||
# Install dependencies using Ansible
|
||||
./setup-dev-env.sh
|
||||
|
||||
# Use vcstool to import more repositories
|
||||
mkdir src
|
||||
vcs import src < autoware.repos
|
||||
|
||||
# Install dependent ROS packages
|
||||
source /opt/ros/galactic/setup.bash
|
||||
rosdep update
|
||||
rosdep install -y --from-paths src --ignore-src --rosdistro $ROS_DISTRO
|
||||
|
||||
# Build the workspace
|
||||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release
|
||||
```
|
||||
|
||||
## Adding AutowareV2X
|
||||
|
||||
1. Edit the `autoware.repos` file and add the following two repositories to the end.
|
||||
```
|
||||
v2x/autoware_v2x:
|
||||
type: git
|
||||
url: git@github.com:tlab-wide/autoware_v2x.git
|
||||
version: main
|
||||
v2x/vanetza:
|
||||
type: git
|
||||
url: git@github.com:tlab-wide/vanetza.git
|
||||
version: socktap-cpm-tr103562
|
||||
|
||||
```
|
||||
|
||||
2. Update the repository
|
||||
```
|
||||
vcs import src < autoware.repos
|
||||
vcs pull src
|
||||
```
|
||||
|
||||
3. Install dependent ROS packages
|
||||
```bash
|
||||
source /opt/ros/galactic/setup.bash
|
||||
rosdep install -y --from-paths src --ignore-src --rosdistro $ROS_DISTRO
|
||||
```
|
||||
|
||||
4. Build the workspace
|
||||
```
|
||||
colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release
|
||||
```
|
|
@ -0,0 +1,2 @@
|
|||
nav:
|
||||
- index.md
|
|
@ -0,0 +1,3 @@
|
|||
# Support
|
||||
|
||||
- Contact: yuasabe[at]hongo.wide.ad.jp
|
|
@ -0,0 +1,2 @@
|
|||
nav:
|
||||
- index.md
|
|
@ -0,0 +1,18 @@
|
|||
# Tutorials
|
||||
|
||||
Simulations can be an easy way of verifying the functionality of AutowareV2X before an actual field test.
|
||||
Here, since we want to test both the sending and receiving of information through AutowareV2X, we will need at least two AutowareV2X instances. For this, we will use a Docker-based environment.
|
||||
|
||||
## Using CPM in a simulation-based environment
|
||||
|
||||
1. Create Docker networks
|
||||
```
|
||||
$ docker network create --driver=bridge --subnet=10.0.0.0/16 v2x_net -o com.docker.network.bridge.name="v2x_net"
|
||||
```
|
||||
# Launch Autoware container
|
||||
rocker --nvidia --x11 --user --volume $HOME/autoware_docker --volume $HOME/autoware_map -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
|
||||
|
||||
$ cd autoware_docker
|
||||
$ . install/setup.bash
|
||||
$ ros2 launch autoware_v2x v2x.launch.xml network_interface:=eth1
|
||||
```
|
|
@ -0,0 +1,67 @@
|
|||
site_name: AutowareV2X
|
||||
theme:
|
||||
name: material
|
||||
features:
|
||||
- navigation.expand
|
||||
- navigation.indexes
|
||||
- navigation.instant
|
||||
- navigation.sections
|
||||
- navigation.tabs
|
||||
- navigation.tabs.sticky
|
||||
- navigation.top
|
||||
palette:
|
||||
- scheme: default
|
||||
primary: white
|
||||
toggle:
|
||||
icon: material/weather-sunny
|
||||
name: Switch to dark mode
|
||||
- scheme: slate
|
||||
primary: grey
|
||||
toggle:
|
||||
icon: material/weather-night
|
||||
name: Switch to light mode
|
||||
language: en
|
||||
|
||||
extra:
|
||||
font:
|
||||
text: Roboto
|
||||
code: Roboto Mono
|
||||
version:
|
||||
provider: mike
|
||||
|
||||
extra_css:
|
||||
- https://use.fontawesome.com/releases/v5.15.4/css/all.css
|
||||
|
||||
extra_javascript:
|
||||
- https://cdn.jsdelivr.net/npm/mathjax@2/MathJax.js?config=TeX-AMS-MML_HTMLorMML
|
||||
|
||||
plugins:
|
||||
- awesome-pages
|
||||
- search
|
||||
|
||||
markdown_extensions:
|
||||
- abbr
|
||||
- admonition
|
||||
- attr_list
|
||||
- codehilite:
|
||||
guess_lang: false
|
||||
- fontawesome_markdown
|
||||
- footnotes
|
||||
- mdx_math
|
||||
- plantuml_markdown:
|
||||
server: http://www.plantuml.com/plantuml
|
||||
format: svg
|
||||
- pymdownx.arithmatex
|
||||
- pymdownx.details
|
||||
- pymdownx.highlight
|
||||
- pymdownx.snippets:
|
||||
auto_append:
|
||||
- includes/abbreviations.md
|
||||
- pymdownx.superfences:
|
||||
custom_fences:
|
||||
- name: mermaid
|
||||
class: mermaid
|
||||
format: !!python/name:pymdownx.superfences.fence_code_format
|
||||
- toc:
|
||||
permalink: "#"
|
||||
toc_depth: 3
|
Loading…
Reference in New Issue