STEM Interactive Exhibit

Captivate visitors with a ready-to-use exhibit showcasing modern self-driving and applied AI technology

Autonomous Systems & Applied AI

The Quanser STEM Interactive Exhibit demonstrates exciting self-driving technologies in an accessible and interactive scenario that highlights some of the critical systems that are used by modern vehicles today.
The exhibit is designed to be a simple solution for a wide variety of campus teams including faculty, summer programs, administration, and outreach departments to make their university teaching and research stand out.

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Info Sheet

Content Guide

Audience gain a hands-on understanding of each element of an intelligent system and participate in pre-defined activities and challenges through the app interface:

SEE: Participants watch what the vehicle is currently seeing from the camera point of view.
THINK: Participants observe the operation of a state machine and artificial neural network as they work together to control the behaviour of the vehicle.
DO: Participants get visibility into the power and energy usage of the car and have the ability to modify the speed and acceleration of the vehicle and monitor those effects on the power system. They can monitor and change car signals, like turning lights on/off or even honk.
TALK: Each car communicates to the control station laptop which can adjust the traffic light to achieve the optimal flow of traffic.
INTERACT: Participants are encouraged to place traffic signs along the border of the track to observe their effect on the behaviour of the vehicles.

The exhibit is designed to be a simple solution for a wide variety of campus teams including faculty, summer programs, administration, and outreach departments to make their university teaching and research stand out.

Engage and Inspire: Bring engineering concepts to life with a meaningful STEM experience that sparks curiosity and motivation among audience.

Connect With More Audience: Effortlessly setup and tear down a compact exhibit to expand your opportunities to leverage your investment across the department and institution.

Worry Free: The comprehensive package includes everything you need from tools and software to suggested sample scripts for various experience levels.

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)
Operation time (approximate)	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
	NVIDIA Ampere GPU architecture 200 TOPS
	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
Cameras	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
Safety features	Auto-power off to protect batteries
Expandable IO *Subject to change	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
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 Features	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