

Self-Driving Car Research Studio
Accelerate, expand, and sustain self-driving research
The Quanser Self-Driving Car Research Studio is a highly expandable and powerful platform designed specifically for academic research. Use it to jump-start your research and scale your vehicle fleet, while leveraging multiple software environments. The studio brings you the tools and components you need to test and validate dataset generation, mapping, navigation, machine learning, artificial intelligence, and other advanced self-driving concepts.
Learn MoreVehicles
- QCar (single vehicle or vehicle fleet)
Ground Control Station
- High-performance computer with RTX graphics card with Tensor AI cores
- Three monitors
- High-performance router
- Wireless gamepad
- QUARC Autonomous license
Studio Space
- Set of reconfigurable floor panels with roadway patterns
- Set of traffic signs
Product Details
Dimensions | 39 x 21 x 21 cm |
Weight (with batteries) | 2.7 kg |
Power | 3S 11.1 V LiPo (3300 mAh) with XT60 connector |
Operation time (approximate) | 2 hr 11 m (stationary, with sensors feedback) |
35 m (driving, with sensor feedback) | |
Onboard computer | NVIDIA® Jetson™ TX2 |
CPU: 1.2 GHz quad-core ARM Cortex-A57 64-bit + 1.2 GHz Dual-Core NVIDIA Denver2 64-bit | |
GPU: 256-core NVIDIA Pascal™ GPU architecture , 1.3 TFLOPS (FP16) | |
Memory: 8GB 128-bit LPDDR4 @ 1866 MHz, 59.7 GB/s | |
LIDAR | LIDAR with 2k-8k resolution, 10-15Hz scan rate, 12m range |
Cameras | Intel D435 RGBD Camera |
360° 2D CSI Cameras using 4x 160° FOV wide angle lenses, 21fps to 120fps | |
Encoders | 720 count motor encoder pre-gearing with hardware digital tachometer |
IMU | 9 axis IMU sensor (gyro, accelerometer, magnetometer) |
Safety features | Hardware “safe” shutdown button |
Auto-power off to protect batteries | |
Expandable IO | 2x SPI |
4x I2C | |
40x GPIO (digital) | |
4x USB 3.0 ports | |
1x USB 2.0 OTG port | |
3x Serial | |
4x Additional encoders with hardware digital tachometer | |
4x Unipolar analog input, 12 bit, 3.3V | |
2x CAN Bus | |
8x PWM (shared with GPIO) | |
Connectivity | WiFi 802.11a/b/g/n/ac 867Mbps with dual antennas |
2x HDMI ports for dual monitor support | |
1x 10/100/1000 BASE-T Ethernet | |
Additional QCar feautres | Headlights, brake lights, turn signals, and reverse lights (with intensity control) |
Dual microphones | |
Speaker | |
LCD diagnostic monitoring, battery voltage, and custom text support |
Supported Software and APIs | QUARC Autonomous Software License |
Quanser APIs | |
TensorFlow | |
TensorRT | |
Python™ 2.7 & 3 | |
ROS 1 & 2 | |
CUDA® | |
cuDNN | |
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, QuanserSim) | |
Multi-language development supported with Quanser Stream APIs for inter-process communication | |
Unreal Engine |