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.
The durable, light-weight carbon-fiber frame makes the QDrone highly maneuverable and capable of withstanding high-impact applications with little downtime required for repairs. The powerful on-board processor, RGB-D and optical flow cameras enable high-quality on-board video processing, as well as streaming for real-time monitoring. The QDrone is only available as part of the Autonomous Vehicles Research Studio. Click here to learn more.
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.
The QBot 2e is built on a two wheel differential drive platform with built-in DC motors and sensors. It utilizes a wireless embedded computer to command motor velocity and measure the onboard sensors including bump, cliff, and RGBD. The embedded system also provides several I/O channels for interfacing additional digital and analog sensors. The integrated RGB camera and depth sensor are capable of capturing RGB image data and 11-bit depth data and transmitting the data at a high frame rate. The QBot 2e operates using a host-target structure. Controllers are developed on the ground station host using QUARC for Simulink®. Real-time code is downloaded from the host to the QBot 2e embedded computer and allows users to run, modify and monitor code remotely from the host. The controllers on-board the QBot 2e are open-architecture and fully modifiable.
At the center of the research studio are two autonomous vehicles for air and ground: the QDrone and QBot 2e. The successor of the QBall 2, the QDrone is a quadrotor air vehicle equipped with powerful on-board Intel® Aero Compute Board, multiple high-resolution cameras and integrated sensors. On the ground, the QBot 2e is an innovative open-architecture autonomous ground robot, equipped with a wide range of built-in sensors and a vision system. Working individually or in a swarm, these are the ideal vehicles for your research applications.