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autodriveecosystem/autodrive_roboracer_api

By autodriveecosystem

Updated 5 days ago

Docker Image for AutoDRIVE Devkit used in RoboRacer Sim-Racing Competition.

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autodriveecosystem/autodrive_roboracer_api repository overview

RoboRacer Digital Twin Autonomous Sim-Racing League using AutoDRIVE Ecosystem

Github Stars Github Forks Github Downloads Sim Docker Stars Sim Docker Pulls API Docker Stars API Docker Pulls

Note:

The setup has been only tested on the Ubuntu operating system.

It is assumed that Docker is installed.

It is assumed that if the Docker container is to take advantage of an NVIDIA GPU, the host machine has been properly configured by installing the necessary NVIDIA GPU drivers and the NVIDIA Container Toolkit.

You will need the AutoDRIVE Simulator image to work with this AutoDRIVE Devkit image.

Pull AutoDRIVE Devkit Container:

docker pull autodriveecosystem/autodrive_roboracer_api:<TAG>

Run AutoDRIVE Devkit Container:

  1. Enable display forwarding:

    xhost local:root
    
  2. Run the container at entrypoint:

    docker run --name autodrive_roboracer_api --rm -it --entrypoint /bin/bash --network=host --ipc=host -v /tmp/.X11-unix:/tmp/.X11-unix:rw --env DISPLAY --privileged --gpus all autodriveecosystem/autodrive_roboracer_api:<TAG>
    
  3. Launch AutoDRIVE Devkit in graphics mode (RViz rendering will be enabled):

    ros2 launch autodrive_roboracer bringup_graphics.launch.py
    
  4. Launch AutoDRIVE Devkit in headless mode (RViz rendering will be disabled):

    ros2 launch autodrive_roboracer bringup_headless.launch.py
    
  5. Start additional bash session(s) within the container (each in a new terminal window):

    docker exec -it autodrive_roboracer_api bash
    

Citation:

We encourage you to read and cite the following papers if you use any part of the competition framework for your research:

AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education
@article{AutoDRIVE-Ecosystem-2023,
author = {Samak, Tanmay and Samak, Chinmay and Kandhasamy, Sivanathan and Krovi, Venkat and Xie, Ming},
title = {AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research & Education},
journal = {Robotics},
volume = {12},
year = {2023},
number = {3},
article-number = {77},
url = {https://www.mdpi.com/2218-6581/12/3/77},
issn = {2218-6581},
doi = {10.3390/robotics12030077}
}

This work has been published in MDPI Robotics. The open-access publication can be found on MDPI.

AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education
@inproceedings{AutoDRIVE-Simulator-2021,
author = {Samak, Tanmay Vilas and Samak, Chinmay Vilas and Xie, Ming},
title = {AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education},
year = {2021},
isbn = {9781450390453},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3483845.3483846},
doi = {10.1145/3483845.3483846},
booktitle = {2021 2nd International Conference on Control, Robotics and Intelligent System},
pages = {1–5},
numpages = {5},
location = {Qingdao, China},
series = {CCRIS'21}
}

This work has been published at 2021 International Conference on Control, Robotics and Intelligent System (CCRIS). The publication can be found on ACM Digital Library.

Tag summary

Content type

Image

Digest

sha256:4ce433465

Size

1 GB

Last updated

5 days ago

docker pull autodriveecosystem/autodrive_roboracer_api:2026-iros-compete