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Self-Driving Car Studio

A multi-disciplinary turnkey laboratory that can accelerate research, diversify teaching, and engage students from recruitment to graduation.

Autonomous Systems & Applied AI Autonomous Vehicle Control Mobile Robotics

The Quanser Self-Driving Car Studio is the ideal platform to investigate a wide variety of research topics for teaching and academic research in an accessible and relevant way. Use it to jump-start your research or give students authentic hands-on experiences learning about the essentials of self-driving. The studio brings you the tools and components you need to test and validate dataset generation, mapping, navigation, machine learning, and other advanced self-driving concepts at home or on campus.

Check ACC Self-Driving Car Student Competition to get more information on how Quanser and QCar empowering the next generation of engineers.

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At the center of the Self-Driving Car Research Studio, the QCar 2, is an open-architecture scaled model vehicle, powered with NVIDIA® Jetson™ Orin AGX supercomputer, and equipped with a wide range of sensors, cameras, encoders, and user-expandable IO.

Relying on a set of software tools including Simulink®, Python™, TensorFlow, and ROS, the studio enables researchers to build high-level applications and reconfigure low-level processes that are supported by pre-built modules and libraries. Using these building blocks, you can explore topics such as machine learning and artificial intelligence training, augmented/mixed reality, smart transportation, multi-vehicle scenarios and traffic management, cooperative autonomy, navigation, mapping and control, and more.

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 hours 11 m (stationary, with sensors feedback)
	30 m (driving, with sensor feedback)
Onboard computer	NVIDIA® Jetson™ Orin AGX
	CPU- 2.2 GHz 8-core ARM Cortex-A78 64-bit
	GPU- 930 MHz 1792-CUDA/56-TENSOR cores
	Memory- 32GB 256-bit LPDDR5 @ 204.8 GB/s
LIDAR	LIDAR with 16k points, 5-15 Hz scan rate, 0.2-12m rang
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	6-axis IMU (gyroscope & accelerometer)
Safety features	Hardware “safe” shutdown button
	Auto-power off to protect batteries
Expandable IO	2 user PWM output channels Motor throttle control Steering control 2 unipolar user analog input channels, 12-bit, +3.3V motor current analog inputs 3 encoder channels (motor position plus up to two additional encoders) 11 reconfigurable digital I/O 3 user buttons 2 general purpose 3.3V high-speed serial ports* 1 high-speed 3.3V SPI port (up to 25 MHz)* 1 1.8V I2C port (up to 1 MHz)* 1 3.3V I2C port (up to 1 MHz)* 2 CAN bus interfaces (supporting CAN FD) 1 USB port 1 USB-C host port 1 USB-C DRP * **Subject to change
Connectivity	Wi-Fi 802.11a/b/g/n/ac 867 Mbps with dual antennas
	1x HDMI
	1x 10/100/1000 BASE-T Ethernet
Additional QCar feautres	Headlamps, brake lights, turn signals and reverse lights
	Individually programmable RGB LED strip (33x LEDs)
	Dual microphones
	Speaker
	2.7″ LCD TFT 400×240 for diagnostic monitoring

Vehicles

QCar 2*
QCar*
(single vehicle or 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

Driving map featuring intersections, parking spaces, single & double lane roads and roundabouts
Supporting infrastructure including traffic lights, signs and cones

Supported Software and APIs
Teaching Resources
Outreach Resources

Supported Software and APIs	QUARC for Simulink®
	Quanser APIs
	TensorFlow
	Python™ 2.7 / 3 & ROS 2
	CUDA®
	cuDNN
	TensorRT
	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 and Quanser Interactive Labs )
	Multi-language development supported with Quanser Stream APIs for inter-process communication
	Communication