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Sensor-rich autonomous vehicle

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.


The QCar is powered with NVIDIA® Jetson™ TX2 supercomputer and equipped with a wide range of sensors including LIDAR, 360-degree vision, depth sensor, IMU, encoders, as well as user-expandable IO. Use it to jump-start your research and scale your existing vehicle fleet, while leveraging multiple software environments including Simulink®, Python™, C/C++, TensorFlow and ROS.

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
LCD diagnostic monitoring, battery voltage, and custom text support
Supported Software and APIs QUARC Autonomous Software License
Quanser APIs
Python™ 2.7 & 3
ROS 1 & 2
Deep Stream SDK
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

Additional information