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++.
Learning & Research Outcomes
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.
Vehicle Details
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 capabilites, including:
- NVIDIA® Jetson™ TX2 supercomputer
- 2D Lidar
- RGBD and 360° 2D SCI Cameras
- 720 count encoder
- Brake and reverse lights, turn signals, headlights
- Microphones and speaker
- WiFi connectivity
Software Details
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).
Research Studio Package Includes
- Vehicles: QCar (option to purchase a single vehicle or entire fleet)
- Ground Control Station: High-performance computer with RTX graphics card with Tensor AI cores, 3 monitors, high-performance router, wireless gamepad, QUARC Autonomous License
- Studio Space: Set of reconfigurable floor panels with road patters; set of traffic lights
Get a quote for the Self-Driving Car Research Studio
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: