June 2020
Partner Product
Accelerate, Expand, and Sustain Your Self-Driving Vehicles Research
Building a robust and maintainable research lab for modern engineering applications can be challenging. Researchers often procure components from different sources – consumer stores, industry suppliers, open-source communities, or build them by themselves. Trying to make such a collection of tools work within a sophisticated application framework can get messy pretty quickly. So what if there was a better solution?
As an ideal response to such challenges, earlier this year, Quanser released its Self-Driving Car Research Studio, featuring a sensor-rich QCar autonomous vehicle. Whether your self-driving vehicles research group is already established, or you are starting a new one, this research studio will allow you to :
- Test and validate your artificial intelligence, machine learning, image processing, mapping, multi-vehicle coordination, or other algorithms on a scale-model car
- Take advantage of the powerful QCar, equipped with NVidia Jetson TX2 processor, wide-angle CSI color cameras, 2D LIDAR, 9-axis inertial measurement unit, stereo microphones and speaker, headlights, brake lights, turn signals, LCD screen, and more...
- Use QCar’s communication ports for additional sensors and cameras and other customization options for your specific research needs
- Work in MATLAB/Simulink, Python, C, C++, or ROS and leverage inter-language communication features
- Bring your lab to life using the modular city test environment enhanced with augmented reality
Ultimately, the Self-Driving Car Research Studio brings you the tools you need to implement and validate your ideas and publish the results faster, doing the research your way. See the Self-Driving Car Research Studio in action and learn more about its features on our website and blog.
