Home Projects carma-platform
carma-platform

carma-platform

by usdot-fhwa-stol · GitHub

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles throu

# automated-vehicles# autonomous-driving# autonomous-vehicles# cooperative-driving-automation
View on GitHub
⭐ Stars
435
🍴 Forks
123
📜 License
License not specified
📅 Created
2018
🔄 Last commit
5 days ago
🏷️ Category
automated-vehicles
💻 Language
You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
carma-platform — GitHub preview card
📈 Star history
436435
2026-07-202026-07-21
📄 About

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles throu

Frequently asked questions

What is carma-platform?

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles throu

Is carma-platform open source?

carma-platform is an open-source project.

Is carma-platform free?

Yes. carma-platform is free and open source — you can use, modify and self-host it.

🏅 Maintainer of this project?
OpenSourceAI badge — carma-platform

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![OpenSourceAI](https://opensourceai.tech/badge.php?tool=usdot-fhwa-stol-carma-platform)](https://opensourceai.tech/project/usdot-fhwa-stol-carma-platform.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.