autodriveecosystem/autodrive_neoracer_api
Docker Image for AutoDRIVE Devkit used in Clemson University Course (AuE-4930/6930).
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autodriveecosystem/autodrive_neoracer_api repository overview
Clemson University Course (AuE-4930/6930) using AutoDRIVE Ecosystem
Note:
The setup has been extensively tested on Ubuntu. Additionally, it has been tested to work on Windows (WSL) and macOS, with known limitations.
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.
We have worked with the ACDS team (RCDE group at CCIT) to set up a Classroom OnDemand resource within the Palmetto 2 Cluster to conveniently launch a desktop session for the class via a preconfigured environment (as an alternative to your own laptops if you are facing technical issues/limitations).
You will need the AutoDRIVE Simulator image to work with this AutoDRIVE Devkit image.
Pull AutoDRIVE Devkit Container:
docker pull autodriveecosystem/autodrive_neoracer_api:<TAG>
Run AutoDRIVE Devkit Container:
-
Enable display forwarding:
xhost local:root -
Run the container at
entrypoint:docker run --name autodrive_neoracer_api --rm -it --network=host --ipc=host -v /tmp/.X11-unix:/tmp/.X11-unix:rw --env DISPLAY --privileged --gpus all autodriveecosystem/autodrive_neoracer_api:<TAG> -
Start additional bash session(s) within the container (each in a new terminal window):
docker exec -it autodrive_neoracer_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:ffb8062d7…
Size
8.4 GB
Last updated
7 days ago
docker pull autodriveecosystem/autodrive_neoracer_api:2026-fall-practice