AutowareAI and CARLA

This is a demostration of the integration of AutowareAI and the CARLA simulator.

Installing requirements

This demo works on most Linux distributions with CUDA installed (you need an NVIDIA graphics card).
Install NVIDIA drivers and verify the drivers with: nvidia-smi
This demo requires Docker, NVIDIA Container Toolkit, and ADE to be installed.
For a local installation of the requirements run: bash install_dependencies.sh after you have cloned this repository. (see Getting Started for more information)
To remove the installed binaries and the docker images run: bash remove_dependencies.sh

Create your workspace directory (you can choose your own name or use an existing folder): mkdir adehome
Go to your ADE home directory: cd adehome
Create an empty .adehome file: touch .adehome
Clone this repository: git clone https://github.com/eLearningHub/AutowareAI-CARLA.git
Enter the clone directory: cd AutowareAI-CARLA
Here you can choose to install the dependencies with the bash install_dependencies.sh (requires make package and root privileges)
Run ADE: ade start --enter
Inside ADE, go to the clone directory: cd AutowareAI-CARLA
Inside ADE, run Carla: source run-carla.sh
Open another terminal at the ADE home directory and run: ade enter
Inside ADE, run: cd AutowareAI-CARLA; source launch-autoware.sh
Press P for the vehicle to enter into the autonomous mode. Voila!

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
.aderc		.aderc
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
bin_files		bin_files
daemon-check.py		daemon-check.py
docker-containers		docker-containers
install-ade.sh		install-ade.sh
install-dependencies.sh		install-dependencies.sh
install-nvidia-docker-ubuntu.sh		install-nvidia-docker-ubuntu.sh
launch-autoware.sh		launch-autoware.sh
remove-dependencies.sh		remove-dependencies.sh
run-carla.sh		run-carla.sh
test-nvidia-docker.sh		test-nvidia-docker.sh