Update docs

docs/installation/docker-installation.md

@@ -9,9 +9,10 @@ In order to run the simulations explained in the [Tutorials](/tutorials) section
 
 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:
+### Setup
 
 ```bash
+mkdir -p ~/workspace && cd ~/workspace
 git clone https://github.com/autowarefoundation/autoware.git autoware_docker
 cd autoware_docker
 
@@ -19,29 +20,34 @@ cd autoware_docker
 ./setup-dev-env.sh docker
 
 # Make directory to store maps
-mkdir ~/autoware_map
+mkdir -p ~/data/maps
+```
 
+
+### Launch container
+```
 # Launch Autoware container (with NVIDIA GPU)
-rocker --nvidia --x11 --user --volume $HOME/autoware_docker --volume $HOME/autoware_map -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
+rocker --nvidia --x11 --user --privileged --volume $HOME/workspace/autoware_docker --volume $HOME/data -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
 
 # Launch Autoware container (without NVIDIA GPU)
-rocker -e LIBGL_ALWAYS_SOFTWARE=1 --x11 --user --volume $HOME/autoware_docker --volume $HOME/autoware_map -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
+rocker -e LIBGL_ALWAYS_SOFTWARE=1 --x11 --user --privileged --volume $HOME/workspace/autoware_docker --volume $HOME/data -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
 ```
 
 ## Adding AutowareV2X
 
-From here, run commands inside the container.
+!!! Note
+    From here, run commands inside the container.
 
 1. Move into `autoware_docker` directory.
 ```bash
-cd autoware_docker
+cd ~/workspace/autoware_docker
 ```
 
 2. Edit the `autoware.repos` file and add the following two repositories to the end.
 ```
-v2x/autoware_v2x:
+v2x/autowarev2x:
   type: git
-  url: git@github.com:tlab-wide/autoware_v2x.git
+  url: git@github.com:tlab-wide/AutowareV2X.git
   version: main
 v2x/vanetza:
   type: git
@@ -61,7 +67,7 @@ vcs pull src
 ```bash
 sudo apt update
 rosdep update
-rosdep install --from-paths . --ignore-src --rosdistro $ROS_DISTRO
+rosdep install --from-paths . --ignore-src --rosdistro $ROS_DISTRO -r
 ```
 
 5. Build the workspace

docs/tutorials/planning-simulation/.pages

@@ -0,0 +1,4 @@
+nav:
+  - index.md
+  - rosbag-and-analysis.md
+  - network-emulation.md

docs/tutorials/planning-simulation/index.md

@@ -1,16 +1,17 @@
 # Running AutowareV2X in the Planning Simulator
 
 Simulations can be an easy way of verifying the functionality of AutowareV2X before an actual field test.
-We will use [Autoware's Planning Simulator](https://autowarefoundation.github.io/autoware-documentation/main/tutorials/ad-hoc-simulation/planning-simulation/) here and add connectivity to it with AutowareV2X.
+
+AutowareV2X can be run in a simulation environment using [Autoware's Planning Simulator](https://autowarefoundation.github.io/autoware-documentation/main/tutorials/ad-hoc-simulation/planning-simulation/). An ITS-S is composed of Autoware as the autonomous driving stack and AutowareV2X as its V2X communication stack. Each ITS-S is executed inside a Docker container, and the wireless communication medium between ITS-Ss are modeled with Docker networks. A dynamic ITS-S is defined as a CAV, while a static ITS-S is considered a RSU. Perceived Objects are sent out on the network as CPMs.
 
 !!! Note
     Make sure you have completed [Autoware's Planning Simulator Tutorial](https://autowarefoundation.github.io/autoware-documentation/main/tutorials/ad-hoc-simulation/planning-simulation/) before continuing.
 
-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.
+In order to test both the sender and receiver functionalities, we will need at least two ITS-S instances.
 
 ## The Docker environment to create
 
-We will be creating the Docker environment as depicted in the figure below. There will be two Docker containers, each of which includes Autoware.universe and AutowareV2X. They will both be a part of the Docker network called `v2x_net` with the subnet `10.0.0.0/24`.
+We will be creating the Docker environment as depicted in the figure below. There will be two Docker containers to represent the two ITS-Ss, each of which includes Autoware.universe and AutowareV2X. They will both be a part of the Docker network called `v2x_net` with the subnet `10.0.0.0/24`. "Autoware Container #1" and "Autoware Container #2" will be described as `autoware_1` and `autoware_2` respectively.
 
 ![Docker Environment](./docker-env.png)
 
@@ -21,31 +22,121 @@ docker network create --driver=bridge --subnet=10.0.0.0/24 v2x_net -o com.docker
 ```
 
 
-### Launch two Autoware containers
+### Launch two ITS-S containers
 
+In one terminal, use rocker to launch container `autoware_1`:
 ```bash
-# In one terminal, use rocker to launch container "autoware_1"
+rocker --nvidia --x11 --user --privileged --volume $HOME/workspace/autoware_docker --volume $HOME/data --network=v2x_net --name autoware_1 --oyr-run-arg "--ip 10.0.0.2 --hostname autoware_1" -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
-rocker --nvidia --x11 --user --volume $HOME/autoware_docker --volume $HOME/autoware_map --network=v2x_net --ip 10.0.0.2 --name autoware_1 --hostname autoware_1 -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
+```
 
-# In another terminal, use rocker to launch container "autoware_2"
+In another terminal, use rocker to launch container `autoware_2`:
-rocker --nvidia --x11 --user --volume $HOME/autoware_docker --volume $HOME/autoware_map --network=v2x_net --ip 10.0.0.3 --name autoware_2 --hostname autoware_2 -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
+```
+rocker --nvidia --x11 --user --privileged --volume $HOME/workspace/autoware_docker --volume $HOME/data --network=v2x_net --name autoware_2 --oyr-run-arg "--ip 10.0.0.3 --hostname autoware_2" -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
 ```
 
 ## Run Planning Simulator
 
 Run the Planning Simulator in both `autoware_1` and `autoware_2`.
 
+In `autoware_1`:
+
 ```
+cd ~/workspace/autoware_docker
 source ~/autoware_docker/install/setup.bash
-ros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/autoware_map/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
+export AWID=1 # autoware_1
+source ~/workspace/autoware_docker/src/v2x/autowarev2x/setup.sh
+ros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/data/maps/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
+```
+
+Also, in `autoware_1`, set the ego-vehicle position by clicking `2D Pose Estimate`.
+
+Try adding some dummy cars by clicking `2D Dummy Car`.
+Note that you can make the dummy cars to be static by changing its `Velocity` to `0` in the `Tool Properties` pane.
+
+![](./tools-properties.png)
+
+In `autoware_2`:
+
+```
+cd ~/workspace/autoware_docker
+source ~/autoware_docker/install/setup.bash
+export AWID=2 # autoware_2
+source ~/workspace/autoware_docker/src/v2x/autowarev2x/setup.sh
+ros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/data/maps/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
 ```
 
 
 ## Run AutowareV2X
 
-In another terminal, connect to the `autoware_1` and `autoware_2` containers, and start AutowareV2X in both of them.
+In another terminal, connect to the `autoware_1` and `autoware_2` containers, and start AutowareV2X in both of them. We will set `autoware_1` to be the CPM sender, and `autoware_2` to be the CPM receiver.
 
+In `autoware_1`:
 ```
-source ~/autoware_docker/install/setup.bash
+docker exec -it autoware_1 bash
-ros2 launch autoware_v2x v2x.launch.xml network_interface:=eth1
+sudo su
+cd ~/workspace/autoware_docker
+source ~/workspace/autoware_docker/install/setup.bash
+export AWID=1
+source ./src/v2x/autowarev2x/setup.sh
+ros2 launch autoware_v2x v2x.launch.xml network_interface:=eth0
+```
+
+You should see the command output like below.
+It shows that you are "Sending CPM with n objects", and the `[objectsList]` line describes the following information: `cpm_num, objectID, object.uuid, object.to_send, object.to_send_trigger`.
+![](./autowarev2x_sender.png)
+
+In `autoware_2`:
+```
+docker exec -it autoware_2 bash
+sudo su
+cd ~/workspace/autoware_docker
+source ~/workspace/autoware_docker/install/setup.bash
+export AWID=2
+source ./src/v2x/autowarev2x/setup.sh
+ros2 launch autoware_v2x v2x.launch.xml network_interface:=eth0 is_sender:=false
+```
+
+When both the sender and receiver is launched, you should see that the receiver (`autoware_2`) will start receiving CPMs like below.
+
+![](./autowarev2x_receiver.png)
+
+## Show CPM-shared objects in RViz
+
+1. Press "Add" from the Displays Panel
+![](./add-v2x-rviz-1.png)
+2. Choose "By topic", then select PredictedObjects from /v2x/cpm/objects
+![](./add-v2x-rviz-2.png)
+3. The CPM-shared objects are shown in Rviz!
+![](./add-v2x-rviz-3.png)
+
+## Run scenarios
+
+In order to run scenarios, the [scenario_simulator_v2](https://github.com/tier4/scenario_simulator_v2.git) must be installed:
+
+1. Launch new Autoware container
+```
+rocker --nvidia --x11 --user --volume $HOME/workspace/autoware_docker --volume $HOME/data -- ghcr.io/autowarefoundation/autoware-universe:latest-cuda
+```
+2. Add `simulator.repos`
+```
+cd workspace/autoware_docker
+vcs import src < simulator.repos
+```
+3. Install dependent ROS packages
+```
+sudo apt update
+rosdep update
+rosdep install --from-paths src --ignore-src --rosdistro $ROS_DISTRO -r
+```
+4. Rebuild workspace
+```
+colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release
+```
+5. Download scenario.
+```bash
+gdown -O ~/data/scenarios/ 'https://drive.google.com/uc?id=1FXwSSWeFDTMz7qsG-J7pyJA6RgjksqCy'
+```
+6. Launch `scenario_test_runner` and specify scenario.
+```
+ros2 launch scenario_test_runner scenario_test_runner.launch.py map_path:=$HOME/data/maps/sample-map-planning sensor_model:=sample_sensor_kit vehicle_model:=sample_vehicle scenario:=$HOME/data/scenarios/busy_kashiwa_scenario.yaml launch_autoware:=true
 ```

docs/tutorials/planning-simulation/network-emulation.md

@@ -0,0 +1,20 @@
+# Network Emulation
+
+The `tc` command can be used within the Docker container to emulate various network parameters.
+
+In `autoware_1` for example, use `tc` to add a delay of 100ms.
+```
+sudo tc qdisc add dev eth0 root netem delay 100ms
+```
+
+To remove delay, simply:
+```
+sudo tc qdisc delete dev eth0 root netem delay 100ms
+```
+
+To show all qdisc:
+```
+sudo tc qdisc show
+```
+
+Documentation about [tc-netem](https://man7.org/linux/man-pages/man8/tc-netem.8.html).

docs/tutorials/planning-simulation/rosbag-and-analysis.md

@@ -0,0 +1,23 @@
+# Recording Rosbag and Tcpdump for Analysis
+
+## Record both rosbag and tcpdump
+
+In `autoware_1`:
+```
+cd ~/workspace/autoware_docker
+ros2 bag record -o test_sender_rosbag /perception/object_recognition/objects /tf
+tcpdump -i eth0 -w test_sender_tcpdump
+```
+
+In `autoware_2`:
+```
+cd ~/workspace/autoware_docker
+ros2 bag record -o test_receiver_rosbag /v2x/cpm/objects /tf
+tcpdump -i eth0 -w test_receiver_tcpdump
+```
+
+## Analyze in JupyteLab
+
+### Plot the x,y coordinates of objects in test_sender_rosbag
+
+1. Export the necessary topics of the Rosbag to a CSV file