QLabs Virtual QCar 2
Safely develop and validate your self-driving algorithms in virtual worlds
The Quanser Virtual QCar 2 is a fully instrumented, dynamically accurate digital twin of the physical QCar 2 1/10 scale self-driving car. It behaves the same way as the physical hardware and can be measured and controlled using MATLAB Simulink® or Python development environments. It can enrich your lectures and activities in traditional labs, or bring credible, authentic model-based lab experiences into your distance and online self-driving courses.
Same as the physical Qcar, the virtual system is a self-driving teaching and research platform complete with industrially relevant sensors such as LiDAR, 360° CSI cameras, an RGB-D camera, and inertial and odometric sensors.

Product Details
The Quanser Virtual QCar 2 is a fully instrumented, dynamically accurate digital twin of the physical QCar 2 1/10 scale self-driving car. It behaves the same way as the physical hardware and can be measured and controlled using MATLAB Simulink® or Python development environments. It can enrich your lectures and activities in traditional labs, or bring credible, authentic model-based lab experiences into your distance and online self-driving courses.
Same as the physical Qcar, the virtual system is a self-driving teaching and research platform complete with industrially relevant sensors such as LiDAR, 360° CSI cameras, an RGB-D camera, and inertial and odometric sensors.
Academically appropriate
High-fidelity, credible lab experiences equivalent to using the physical lab equipment
Comprehensive Resources
Innovative curriculum and research resources
Open Access
Full access to the system through MATLAB Simulink® or PythonTM
Scalable
12-month multi-seat subscription
CSI Cameras | 4×160° FOV @820×410 resolution @30Hz |
2D lidar | 360° 384 points per scan @15Hz |
RealSense RGB-D camera | RGB and Depth @640×480 resolution @30Hz |
IMU | 3-axis gyroscope and accelerometer |
- Sensor interfacing and kinematic modeling
- Occupancy grid mapping
- Sensor fusion
- Vehicle lateral and longitudinal control
- Image acquisition and camera interfacing
- Line detection
- Lane detection and keeping
- Object detection and classification