ATLAB AT00071 educational technology product for hands-on learning

Quanser QCar 2

The QCar 2 is an open-architecture, 1/10th scale autonomous research vehicle and the feature vehicle of the Self-Driving Car Studio, designed to elevate academic self-driving research, education, and outreach. Powered by the NVIDIA Jetson Orin AGX and equipped with a comprehensive suite of inertial, visual, and ranging sensors, it supports research into self-driving stacks, machine vision and learning, traffic and fleet management, platooning, and city and highway maneuvering, either individually or as part of a fleet. Paired with a one-year QLabs Virtual QCar 2 subscription, it bridges physical and virtual environments through a digitally twinned cityscape, enabling researchers to validate algorithms and giving students the flexibility to develop and test before working with the physical car.

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SPECIFICATIONS

Dimensions: 39 x 21 x 21 cm | Weight: 2.7 kg
Power: 3S 11.1V LiPo, 3300mAh with XT60 connector
Operation time: ~2 hours stationary | ~30 minutes driving (with sensor feedback)
Onboard computer: NVIDIA Jetson Orin AGX | CPU: 2.2GHz 8-core ARM Cortex-A78 64-bit
GPU: 930MHz, 1792 CUDA / 56 Tensor cores, NVIDIA Ampere, 200 TOPS | Memory: 32GB 256-bit LPDDR5 @ 204.8 GB/s
LiDAR: 16k points, 5–15 Hz, 0.2–12m range
Cameras: Intel D435 RGBD + 360° 2D CSI with 4x 160° FOV wide angle lenses at 21–120fps
IMU: 6-axis gyroscope and accelerometer | Encoders: 720-count motor encoder with digital tachometer
Connectivity: Wi-Fi 802.11a/b/g/n/ac 867 Mbps, HDMI, Gigabit Ethernet
Display: 2.7" LCD TFT 400x240 | Audio: dual microphones and speaker
Lighting: headlamps, brake lights, turn signals, reverse lights, 33x programmable RGB LEDs

FEATURES

Supports self-driving stacks, machine vision, fleet management, platooning, and traffic scenarios
Open architecture with extensive reconfigurability and interoperability
Digital twin via QLabs Virtual QCar 2 for blended physical and virtual research
Includes programmable traffic lights, durable driving map, scaled accessories, and preconfigured high-performance PC with three monitors
Rich collection of research examples and curriculum for MATLAB Simulink, Python, and ROS
Compatible with ACC Self-Driving Car Student Competition
Hardware safe shutdown button and auto power-off battery protection