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.
The QCar is sold as part of the Self-Driving Car Research Studio. The Research Studio includes:
The Self-Driving Car Research Studio comes with everything you need to jumpstart your research.
The Quanser Self-Driving Car Studio is the ideal platform to investigate various 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 Quanser QBot 3 is an innovative open-architecture autonomous ground robot, built on a 2-wheel mobile platform. Equipped with built-in sensors, a vision system, and accompanied by extensive courseware, the QBot 3 is ideally suited for teaching undergraduate and advanced robotics and mechatronics courses.
