Part No. QLabs Virtual QCar 2
QLabs Virtual QCar 2 is a digital twin of the 1/10 scale self-driving car, enabling safe development and validation of autonomous algorithms with MATLAB or Python.
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.
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.
| Specifications |
|
| 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 |
| Minimum Specifications | • Intel Core Ultra 5, Intel Core i5, Ryzen 5 • 8GB RAM • Intel Iris or Arc integrated GPU |
| Recommended Specifications | • Intel Core Ultra 7, Intel Core i7, Ryzen 7 • 16GB RAM • Intel Arc integrated GPU, or discrete GPU (e.g. NVIDIA GeForce RTX 3050) |
| Recommended Research Specifications | • Intel Core Ultra 7, Intel Core i7, Ryzen 7 • 32GB RAM • Discrete GPU (e.g. NVIDIA GeForce RTX 3050) |
• 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
• 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
QLabs Virtual Ball and Beam is a digital twin platform for control systems education, enabling realistic unstable control experiments with MATLAB/Simulink.
QLabs Virtual Rotary Servo is a digital twin platform for control systems education, enabling realistic DC motor control labs with MATLAB/Simulink.
QUARC Real-Time Control Software enables rapid development and deployment of real-time control applications from Simulink® directly to hardware.
Quanser Active Mass Damper is a bench-scale system for studying vibration control in tall structures using active damping, sensors, and DC motor-driven cart.
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เขตหลักสี่ กรุงเทพฯ 10210
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