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Self-Driving Car Lab

A Complete Turnkey Ecosystem that Accelerates Research, Enhances Teaching, and Engages Students from Recruitment through Graduation.

Autonomous Systems & Applied AI Autonomous Vehicle Control Mobile Robotics

The Self-Driving Car Lab is a unique, ever-growing ecosystem that enables a turnkey experience for teaching, research, outreach, and student competition in autonomous driving. This open-architecture lab comprises a 1/10th-scale, fully instrumented, NVIDIA GPU-powered autonomous car and a range of components that create a realistic and customizable testing environment. Further enhanced by high-fidelity digital twins, comprehensive academic resources, and multi-software support, the lab addresses a wide range of academic needs in self-driving through a single platform.

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At the center of the Self-Driving Car Lab is QCar 2, a 1/10th-scale autonomous vehicle that brings self-driving concepts into a practical academic setting. With NVIDIA GPU compute, cameras, an IMU, encoder, and LiDAR, it provides a strong foundation for work in perception, localization, mapping, navigation, and end-to-end workflows in AI-based autonomy. Around it, a realistic and customizable test environment with reconfigurable road panels, traffic signs, communication infrastructure, programmable traffic lights, and other accessories supports flexible learning, experimentation, and validation.

A high-fidelity digital twin module allows users to develop, test, and refine workflows before moving to hardware, while also enabling hybrid, remote, and off-campus learning. Comprehensive academic resources and research examples help connect foundational topics such as camera calibration, sensor fusion, and vehicle dynamics to more advanced work in SLAM, computer vision, reinforcement learning, collaborative autonomy, and multi-agent systems. With compatibility across MATLAB/Simulink, Python, C++, and ROS 2, along with support for 20+ APIs, the Self-Driving Car Lab fits naturally into a wide range of courses, research programs, outreach activities, and student competition projects.

Turnkey Hardware	3x QCar 2 6x Batteries 3x Battery Chargers and Charge Cables
Infrastructure	High-performance preconfigured turnkey PC (testbed & infrastructure station) Pre-configured wireless communication module for high-speed connectivity 4x Reprogrammable traffic lights with batteries 3x high-definition monitors Textbook-Aligned Courseware, Research Resources & Faculty Toolkit 2x Floor maps (15.75 ft × 9.2 ft / 4.8 m × 2.8 m and 15.75 ft × 20 ft / 4.8 m × 6.1 m) for testing various driving scenarios Reconfigurable PVC borders (15.75 ft × 29.2 ft / 4.8 m × 8.9 m footprint) for branding and mapping Set of accessories including multiple options for North American and European scale signs and ten traffic pylons Car stand Game controller
Digital Twin Subscription	QLabs Virtual QCar 2 Module
Software Licenses	QUARC™ Complete Lab License

	QUARC for Simulink®
	Quanser APIs
	TensorFlow
	Python™ 2.7 / 3 & ROS 2
	CUDA®
	cuDNN
	TensorRT
	OpenCV
	Deep Stream SDK
	VisionWorks®
	VPI™
	GStreamer
	Jetson Multimedia APIs
	Docker containers with GPU support
	Simulink® with Simulink Coder
	Simulation and virtual training environments (Gazebo and Quanser Interactive Labs )
	Multi-language development supported with Quanser Stream APIs for inter-process communication
	Communication