Releases: Tinker-Twins/AutoDRIVE-Autoware
AutoDRIVE-Autoware v0.1.1
This release is a part of the course AuE-8360 "Scaled Autonomous Vehicles" at CU-ICAR (Fall 2023).
Documentation
- Installation: Autoware stack installation using different options depending upon the required system hardware/software configuration.
- Deployments: Autoware stack deployment on different vehicles of AutoDRIVE Ecosystem across scales and ODDs.
Deployments
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YouTube Playlist
Deployment videos pertaining to AutoDRIVE-Autoware Integration are available within the Autoware Playlist on AutoDRIVE Ecosystem's YouTube Channel.
Citation
We encourage you to read and cite the following paper if you use any part of this work 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-Autoware v0.1.0
This release is a part of the course AuE-8360 "Scaled Autonomous Vehicles" at CU-ICAR (Fall 2023).
Documentation
- Installation: Autoware stack installation using different options depending upon the required system hardware/software configuration.
- Deployments: Autoware stack deployment on different vehicles of AutoDRIVE Ecosystem across scales and ODDs.
Deployments
|
|
|---|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
YouTube Playlist
Deployment videos pertaining to AutoDRIVE-Autoware Integration are available within the Autoware Playlist on AutoDRIVE Ecosystem's YouTube Channel.
Citation
We encourage you to read and cite the following paper if you use any part of this work 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.