Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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 through communication. Doxygen Source Code Documentation :
| Date | Stars |
|---|---|
| 2026-07-24 | 436 |
| 2026-07-25 | 436 |
| 2026-07-28 | 436 |
| 2026-07-30 | 436 |
| 2026-08-06 | 436 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
[](https://github.com/usdot-fhwa-stol/carma-platform/releases) [](https://github.com/usdot-fhwa-stol/carma-platform/actions/workflows/dockerhub.yml?query=branch:develop) [](https://github.com/usdot-fhwa-stol/carma-platform/actions/workflows/Ci.yml?query=branch:develop) [](https://hub.docker.com/r/usdotfhwastol/carma-platform) [](https://sonarcloud.io/project/overview?id=usdot-fhwa-stol_CARMAPlatform) [](https://github.com/usdot-fhwa-stol/carma-platform/blob/develop/docs/License.md) # CARMA  CARMA<sup>SM</sup> advances research and development to accelerate market readiness and deployment of cooperative driving automation, while advancing automated driving technology safety, security, data, and artificial intelligence. It encourages collaboration and participation by a community of engineers and researchers to advance understanding of cooperative driving automation using open source software (OSS) and agile project management practices. CARMA is a reusable, extensible platform for controlling SAE level 2 connected, automated vehicles (AVs). It provides a rich, generic API for third party plugins that implement vehicle guidance algorithms to plan vehicle trajectories. It is written in C++ and runs in a Robot Operating System (ROS) environment on Ubuntu. The platform can be reused on a variety of properly equipped vehicles. Migration has begun from the ROS 1 framework to ROS 2. ## What Is CARMA Platform  Managing automated vehicle motion involves three aspects. The first is **navigation, also known as localization**, which is the act of determining where the vehicle currently is with respect to the earth and with respect to the desired path of travel (its planned route). The second is **guidance, also known as trajectory planning**, which includes the processes of determining how the vehicle is to move from its current location to its destination. The destination and route will be handed to the guidance algorithms, and they then determine how the vehicle’s motion needs to be adjusted at any time in order to follow the route. The third aspect of automated vehicle motion is **control**, which covers the actuation of the vehicle’s physical devices to induce changes in motion (for land vehicles these are typically causing the wheels to rotate faster or slower and turning the steering wheel). Therefore, the navigation solution becomes an input to the guidance function, and the guidance solution becomes an input to the control function. As the vehicle moves, obviously its location changes so that the navigation function constantly needs to update its solution and the cycle iterates as quickly as necessary to produce a smooth and accurate vehicle motion. The rate of iteration is largely determined by the expected speed of the vehicle. CARMA Platform provides the navigation and guidance functions for its host vehicle, as well as some of the control functions. It depends on low level controller hardware to provide the rest of the control function. The current version of CARMA Platform provides SAE level 3+ autonomy, with both speed and steering control. ## Documentation  Documentation of the setup, operation, an
Excerpt of 16,911 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:013ddc530dd50602, topic:ros, topic:autonomous-driving