UNIVERSITY OF MARYLAND
The 1/10th-scale Connected and Automated Vehicle (CAV), developed by M-TRAIL, is a cost-effective and highly functional platform designed to replicate the sensing, communication, and control capabilities of full-scale CAVs in a compact form. Built with embedded LiDAR, a WiFi communication unit, high-definition cameras, inertial measurement units, and onboard computing resources, this miniature vehicle supports a wide range of autonomous driving tasks, including perception, localization, path planning, and vehicle control. The platform runs on an open-source, modular software architecture that allows seamless integration of custom algorithms for cooperative perception, sensor fusion, and traffic interaction experiments. With its realistic dynamics and real-time processing capabilities, the 1/10th-scale CAV serves as an ideal tool for testing new CAV technologies in a safe and controlled lab or field setting. It significantly lowers the barriers to entry for CAV research and education, offering universities, community colleges, and research institutions a hands-on, scalable testbed for rapid prototyping, STEM outreach, and algorithm validation.
Assembling the 1tenth CARMA car
Completed car model
3D environment construction
The Level 4 Connected and Automated Vehicle (CAV), developed on a hybrid Chrysler Pacifica minivan platform, is a fully integrated research vehicle equipped with a comprehensive suite of sensors, including LiDARs, radars, high-resolution cameras, and a Mobileye system, for robust perception and environment sensing. It features a drive-by-wire control system that enables full automation of throttle, braking, and steering, as well as high-performance, industry-grade onboard computers capable of running advanced algorithms for perception, planning, and control. The vehicle is also equipped with an onboard unit (OBU) for Vehicle-to-Everything (V2X) communication, supporting real-time data exchange with infrastructure and other vehicles. A modular software architecture allows for the seamless integration of custom applications, enabling real-time data processing and experimentation with cooperative perception, sensor fusion, and trajectory optimization. This platform offers a scalable and versatile testbed for universities, public agencies, and industry partners to validate emerging CAV technologies in real-world environments.
Designed to facilitate idea sharing and big thinking, Stanley R. Zupnik Hall will be located at the corners of Paint Branch and Stadium Drives in the center of the Maryland Engineering complex. When completed in 2026, the building will be a nexus for multiple engineering disciplines and university institutes and provide flex space and a new home for identity-based student organizations. CAV Lab will be on the ground floor of the Zupnik Hall.