Skip To Content
Back to Products

QLabs Virtual QCar 2

Safely develop and validate your self-driving algorithms in virtual worlds

Autonomous Systems & Applied AI Autonomous Vehicle Control Self-Driving Vehicle Control Software Virtual Experiments

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.

QlabVirtual-QCar2-2
Gallery
Documents

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