Self-Driving Car Research Studio by Quanser is an all-encompassing platform for new and expanding research programs. The studio comes with all the tools to build a complete research portfolio in autonomous and self-driving technologies. The SDRS supports a variety of languages, including ROS, Python, Simulink, C, and C++.
The self-driving car studio enables researchers to build high-level applications and reconfigure low-level processes that are supported by pre-built modules and libraries. Using these building blocks, you can explore topics such as machine learning and artificial intelligence training, augmented/mixed reality, smart transportation, multi-vehicle scenarios and traffic management, cooperative autonomy, navigation, mapping and control, and more.
At the center of the Self-Driving Car Research Studio, the QCar, is an open-architecture scaled model vehicle. The car is equipped with high-grade technology to power autonomous capabilities, including:
The self-driving car studio supports a number of software tools and APIs, including Simulink®, Python™, TensorFlow,VisionWorks, Jetson Multimedia APIs, Gazebo, ROS and many, many more (See spec sheet in next tab for more information).
Click “add to my products” below to request a quote for the SDRS, then view “My Products” at the top right of your screen to complete your request:
For more product details and specifications, view the data sheet below:
More resources on the Self-Driving Car Research Studio:
