The Quanser Self-Driving Car Studio is the ideal platform to investigate various research topics for teaching and academic research in an accessible and relevant way. Use it to jump-start your research or give students authentic hands-on experiences learning about the essentials of self-driving. The studio brings you the tools and components to test and validate dataset generation, mapping, navigation, machine learning, and other advanced self-driving concepts at home or on campus.
At the center of Quanser's Self-Driving Car Studio, the QCar, is an open-architecture scaled model vehicle, powered with NVIDIA® Jetson™ TX2 supercomputer, and equipped with a wide range of sensors, cameras, encoders, and user-expandable IO.
The Self-Driving Car Studio’s open software architecture is designed to provide an accessible and customizable platform for teaching while guiding and accommodating a wide range of functionalities required for multi-vehicle research through various customizable modules. With a rich collection of teaching material in Python and ROS2, as well as an expansive set of software tools, including Simulink®, Python™, C++, and ROS examples, the studio enables researchers to build high-level applications and reconfigure low-level processes.
The Self-Driving Car Studio is a highly expandable, sensor-rich, and powerful platform designed specifically for academic labs. It gives you the ability to:
The Quanser Virtual QCar is a fully instrumented, dynamically accurate digital twin of the Quanser QCar system. It behaves the same way as the physical hardware and can be measured and controlled using the Python, ROS, and MATLAB Simulink development environments.
QCar, the feature vehicle of the Self-Driving Car Research Studio, is an open-architecture, scaled model vehicle designed for academic research. Working individually or in a fleet, QCar is the ideal vehicle for validating dataset generation, mapping, navigation, machine learning, artificial intelligence, and other advanced self-driving concepts.
Quanser’s new Autonomous Vehicles Research Studio is the ideal solution for academics looking to build an indoor multi-vehicle research lab in a short amount of time. Consisting of QDrone quadrotors and QBot 2e ground vehicles, ground control station, vision, and safety equipment, the Autonomous Vehicles Research Studio is the only option for research groups looking to jumpstart autonomous robotics research programs and be productive in a very short amount of time.
