Introduction

The CARLA-Autoware-Bridge is a package to connect the CARLA simulator to Autoware Core/Universe with the help of the CARLA-ROS-Bridge. Currently the latest Autoware Core/Universe and CARLA 0.9.15 is supported.

Youtube Demo Video + Quickstart

| Demo | Quickstart | | —————————————————– | ———————————————- | | | |

Paper

If you use this or the other associated repos, please cite our Paper:

CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a Unified Framework for Simulation and Module Development
Gemb Kaljavesi, Tobias Kerbl, Tobias Betz, Kirill Mitkovskii, Frank Diermeyer [PDF]

@inproceedings{carla_aw_bridge24,
  title = {CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research
with a Unified Framework for Simulation and Module Development,
  author = {Kaljavesi, Gemb and Kerbl, Tobias and Betz, Tobias and Mitkovskii, Kirill and Diermeyer, Frank},
  year = {2024}
}

The Paper is currently under review and only published as preprint.

Overview

The simulation framework around the CARLA-Autoware-Bridge consists of the components:

• carla-autoware-bridge: This repository holding the CARLA-Autoware-Bridge.
• ros-bridge: Fork of the ros-bridge with our changes needed for the CARLA-Autoware-Bridge.
• carla-t2: Vehicle model and sensor kit packages of the CARLA T2 2021 Vehicle for Autoware.
• carla-ros-msgs: Fork of the carla-ros-msg with our changes needed for the CARLA-Autoware-Bridge.

How to Build and Install the Bridge

The easiest way to use the CARLA-Autoware-Bridge is to use our prebuilt docker image or to build the docker image by yourself. Bu we also provide a tutorial for local usage.

Docker Workflow(Recommended)

You can build the docker image by yourself or use the image from our github registry.

# Pull our latest docker image
docker pull tumgeka/carla-autoware-bridge:latest

# Alternatively build it yourself by running our build_docker.sh
./docker/build_docker.sh

Local Workflow

Comming Soon. Until then, take a look at our Dockerfile.

Maps

Autoware needs the maps in a special lanelet2 format, we will upload all converted maps in the future under the following link: carla-autoware-bridge/maps

General Installation and Usage

The installation and usage of the CARLA-Autoware-Bridge is described in the following tutourial. In order to function properly the packages should be started in the order CARLA –> CARLA-Autoware-Bridge –> Autoware.

1) CARLA

We recommended to use the dockerized version of CARLA 0.9.15. To pull and start CARLA for usage with the CARLA-Autoware-Bridge follow the steps below.

# Pull CARLA 0.9.15
docker pull carlasim/carla:0.9.15

# Start CARLA
docker run --privileged --gpus all --net=host -e DISPLAY=$DISPLAY carlasim/carla:0.9.15 /bin/bash ./CarlaUE4.sh -carla-rpc-port=1403 

Additional information:

• -prefernvidia - use NVIDIA GPU for hardware acceleration
• -carla-rpc-port=3000 - use other than default port (2000) for RPC service’s port
• -quality-level=Low - use low quality level mode for a minimal video memory consumption

2) CARLA-Autoware-Bridge

Run the carla-autoware-bridge

# If you are using a docker start the docker first
docker run -it -e RMW_IMPLEMENTATION=rmw_cyclonedds_cpp --network host tumgeka/carla-autoware-bridge:latest

# Launch the bridge
ros2 launch carla_autoware_bridge carla_aw_bridge.launch.py port:=1403 town:=Town10HD

Additional information:

• -port:=3000 to switch to a different CARLA port for it’s RPC port
• -timeout:=10 to increase waiting time of loading a CARLA town before raising error
• -view:=true to show third-person-view window
• -town:=Town10HD to set the town
• -traffic_manager=False to turn off traffic manager server (True by default)
• -tm_port=8000 to switch the traffic manager server port to a different one (8000 by default)

If you want to spawn traffic run the following script inside the docker:

python3 src/carla_autoware_bridge/utils/generate_traffic.py -p 1403

3) Autoware

To use Autoware some minor adjustments are required. Additionally you will need our sensorkit and vehicle model.

git clone https://github.com/TUMFTM/Carla_t2.git

Launch autoware

ros2 launch autoware_launch e2e_simulator.launch.xml vehicle_model:=carla_t2_vehicle sensor_model:=carla_t2_sensor_kit map_path:=<path to /wsp/map>

Autoware changes often, for a reproducible behaviour we recommend you to use a tagged autoware version: https://github.com/autowarefoundation/autoware/tree/2024.01

docker pull ghcr.io/autowarefoundation/autoware:humble-2024.01-cuda-amd64

rocker --network=host -e RMW_IMPLEMENTATION=rmw_cyclonedds_cpp -e LIBGL_ALWAYS_SOFTWARE=1 --x11 --nvidia --volume /path/to/code -- ghcr.io/autowarefoundation/autoware-universe:humble-2024.01-cuda-amd64

Limitations and Future Work

• We are currently working on making traffic light detection possible, at least for Town10HD
• Autoware is a map-based approach and some maps may not allow some positions to be reached or some lane changes may not be possible. We are continuously trying to improve our map conversion
• We aim to enhance future efficiency by ensuring that the bridge is Python-free, utilizing native DDS connection with the CARLA simulator