Update docs
Signed-off-by: Yu Asabe <yuasabe@g.ecc.u-tokyo.ac.jp>
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@ -42,7 +42,7 @@ In `autoware_1`:
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```
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cd ~/workspace/autoware_docker
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source ~/autoware_docker/install/setup.bash
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source install/setup.bash
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export AWID=1 # autoware_1
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source ~/workspace/autoware_docker/src/v2x/autowarev2x/setup.sh
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ros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/data/maps/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
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@ -55,11 +55,13 @@ Note that you can make the dummy cars to be static by changing its `Velocity` to
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
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
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In `autoware_2`:
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```
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cd ~/workspace/autoware_docker
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source ~/autoware_docker/install/setup.bash
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source install/setup.bash
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export AWID=2 # autoware_2
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source ~/workspace/autoware_docker/src/v2x/autowarev2x/setup.sh
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ros2 launch autoware_launch planning_simulator.launch.xml map_path:=$HOME/data/maps/sample-map-planning vehicle_model:=sample_vehicle sensor_model:=sample_sensor_kit
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@ -74,8 +76,8 @@ In `autoware_1`:
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```
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docker exec -it autoware_1 bash
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sudo su
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cd ~/workspace/autoware_docker
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source ~/workspace/autoware_docker/install/setup.bash
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cd workspace/autoware_docker
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source install/setup.bash
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export AWID=1
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source ./src/v2x/autowarev2x/setup.sh
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ros2 launch autoware_v2x v2x.launch.xml network_interface:=eth0
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@ -89,8 +91,8 @@ In `autoware_2`:
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```
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docker exec -it autoware_2 bash
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sudo su
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cd ~/workspace/autoware_docker
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source ~/workspace/autoware_docker/install/setup.bash
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cd workspace/autoware_docker
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source install/setup.bash
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export AWID=2
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source ./src/v2x/autowarev2x/setup.sh
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ros2 launch autoware_v2x v2x.launch.xml network_interface:=eth0 is_sender:=false
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@ -104,9 +106,9 @@ When both the sender and receiver is launched, you should see that the receiver
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1. Press "Add" from the Displays Panel <br>
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
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2. Choose "By topic", then select PredictedObjects from /v2x/cpm/objects
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2. Choose "By topic", then select PredictedObjects from /v2x/cpm/objects <br>
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
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3. The CPM-shared objects are shown in Rviz!
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3. The CPM-shared objects are shown in Rviz for `autoware_2`! <br>
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
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## Run scenarios
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@ -4,18 +4,30 @@
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In `autoware_1`:
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```
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docker exec -it autoware_1 bash
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cd ~/workspace/autoware_docker
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ros2 bag record -o test_sender_rosbag /perception/object_recognition/objects /tf
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tcpdump -i eth0 -w test_sender_tcpdump
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sudo apt update
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sudo apt install tcpdump
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sudo tcpdump -i eth0 -w test_sender_tcpdump.pcap
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```
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In `autoware_2`:
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```
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docker exec -it autoware_2 bash
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cd ~/workspace/autoware_docker
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ros2 bag record -o test_receiver_rosbag /v2x/cpm/objects /tf
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tcpdump -i eth0 -w test_receiver_tcpdump
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sudo apt update
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sudo apt install tcpdump
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sudo tcpdump -i eth0 -w test_receiver_tcpdump.pcap
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```
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## Open PCAP file in Wireshark
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
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## Analyze in JupyteLab
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### Plot the x,y coordinates of objects in test_sender_rosbag
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