Self-Driving Car Research Studio

Learning 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.

Self-Driving Car Research Studio Details

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

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

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).

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