The newest inception of CARMA is now live on Github and open for collaborating. The CARMAPlatform is created on a robot operating system (ROS) and utilizes open source software (OSS) that enables cooperative automated driving plug-ins.
CARMASM 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 that plan vehicle trajectories. It is written in Java and C++ and runs in a Robot Operating System (ROS) environment. The platform can be reused on a variety of properly equipped vehicles.
This readme updated: 26 July 2019
What Is CARMA
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 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 provides SAE level 2 autonomy, with both speed and steering control.
The documentation describes the software architecture within a single CARMA vehicle. There may be several of these vehicles operating in concert, communicating with each other via DSRC or cellular means. They can also communicate with roadside infrastructure using DSRC or cellular. The communication among software components within a single vehicle, however, is mostly done via the Robot Operating System (ROS) framework. There are no ROS communications between neighboring vehicles. CARMA3 System Architecture
For information on the CARMA2 architecture, please see CARMA2 System Architecture
Detailed Design Documents
Please see the Detail Design document page for detailed design specification for CARMA and other additional information.
Detail Design Page
A plug-in developers guide for CARMA3 will be coming soon.
For a description of the approach to develop a plug-in for CARMA2, please see CARMA 2.7 Developers Guide
A user guide for CARMA3 will be coming soon.
For a description of the functionality specific to CARMA2 on the Cadillac SRX, see CARMA User Guide
An administrator guide for CARMA3 will be coming soon.
For administrative information on CARMA2, including vehicle and developer PC configuration, build, deployment and testing steps necessary to install and run the CARMA platform, please see Administrator Guide
Other CARMA Packages
CARMA PlatformSM is a downloadable, open source software (OSS) platform architected to be extensible and reusable for a wide variety of research purposes to advance innovation for cooperative driving automation. It enables communication between vehicles, road users such as pedestrians, bicyclists, and scooters, and infrastructure devices capable of communication. It promotes collaboration between a community of engineers and researchers to accelerate the development, testing, and evaluation of cooperative driving automation while advancing the safety, security, data, and use of artificial intelligence in automated driving technology.
The CARMA Platform is distributed as a set of multiple independent packages hosted in separate Github repositories. These packages facilitate operation of the CARMA platform with different hardware configurations or allow it to support different modes of operation. To include one of these packages in your build of the CARMAPlatform system please clone the Github repository into the same Catkin workspace
src/ folder as this repository. The Catkin build system will verify that dependencies are resolved appropriately and build the newly included package when you next run
catkin_make. An incomplete listing of available packages for CARMA2 includes:
Vehicle Controller Interface Drivers
General System Utilites
A full list of available packages may be found at in the USDOT FHWA STOL Github organization.
CARMA CloudSM is a downloadable, cloud-based open source software (OSS) service that provides information to support and enable cooperative driving automation. It enables communication with cloud services and vehicles, road users such as pedestrians, bicyclists, and scooters, and infrastructure devices capable of communication. It promotes collaboration between a community of engineers and researchers to accelerate the development, testing, and evaluation of cooperative driving automation while advancing the safety, security, data, and use of artificial intelligence in automated driving technology. The source code for CARMA Cloud can be found here on GitHub.
Welcome to the CARMA contributing guide. Please read this guide to learn about our development process, how to propose pull requests and improvements, and how to build and test your changes to this project. CARMA Contributing Guide
Code of Conduct
Please read our CARMA Code of Conduct which outlines our expectations for participants within the CARMA community, as well as steps to reporting unacceptable behavior. We are committed to providing a welcoming and inspiring community for all and expect our code of conduct to be honored. Anyone who violates this code of conduct may be banned from the community.
The development team would like to acknowledge the people who have made direct contributions to the design and code in this repository. CARMA Attribution
Code.gov Registration Info
Short Description: Cooperative Automation Research Mobility Applications (CARMA) is an open source software (OSS) platform that runs on a computer inside of a vehicle, and the computer interacts with the vehicle's devices to enable cooperative automated vehicle research, development, and testing. The computer then gives the vehicle the information needed in order to interact and cooperate with infrastructure and other vehicles.Phase I of this project initiated the next generation of the CARMA fleet by developing a common platform infrastructure that will support the FHWA's strategic vision for Cooperative Automated Driving Systems (CADS). Phase I also developed the Integrated Highway Prototype (IHP) by integrating the existing applications and a new vehicle type, the heavy truck, into the CARMA fleet. The following five applications are major research areas: (1) Vehicle Platooning, (2) Signalized Intersection Approach and Departure, (3) Infrastructure guided Speed Harmonization, and (4) Cooperative Lane Change, and (5) Cooperative Ramp Merge.Phase II of this project will advance CADS, which was developed on the FHWA's CARMA research platform to allow testing of arbitration and negotiation strategies. Ultimately, this project will enhance infrastructure efficiency and reduce traffic congestion. One of the goals of this project is to accelerate the technology transfer and deployment of cooperative vehicle applications through open source collaboration with industry and stakeholders. This project will enable Society of Engineers (SAE) Level 2 and Level 3 (L2/3) light vehicle testing capabilities and develop a fleet of four SAE L2/3 heavy vehicles. The project will also develop a high-level concept for Transportation System Management and Operations (TSMO) around the use of automated driving technology. Furthermore, this project will identify Traffic Incident Management (TIM) scenarios that provide strategy improvements and new strategies for first responder use cases interacting with ADS and using ADS. The new FHWA fleet will be used to prototype a scenario for each of the following use case categories: (1) Basic Travel, (2) Work Zone, (3) Traffic Incident Management and (4) Weather. These tests will provide objective data to inform stakeholders about the impacts of ADS and possible strategies to use ADS to improve operations.
Tags: transportation, cooperative driving automation, connected vehicles, intelligent transportation systems, C++, java, python, docker
Labor hours: 200
Contact Name: James Lieu
Contact Phone: (202) 366-3000