Features

• On-Device AI Autonomous Driving Vehicle Training Equipment
• High-performance on-device AI platform of NVIDIA is adopted for the Brain Board
• Built-in high-resolution wide-angle camera for deep learning-based autonomous driving practice
• Built-in 9-axis high-precision IMU sensor for path tracking and vehicle posture control
• Built-in high-precision serial servomotor for more accurate steering control
• Built-in DC motor with encoder and high-efficiency dual motor driver to increase driving accuracy
  Motor, encoder, and sensor control with a controller equipped with a high-performance MCU for precise
  control of the driving unit
• Connect brain board and controller with highly reliable CAN FD communication
• Built-in Gigabit Ethernet, dual-band Wi-fi, and Bluetooth for IoT connectivity applications
• Built-in digital microphone and speaker for voice recognition and audio playback
• Built-in power path management circuit enabling practice even while the battery is charging
• Indoor or indoor/outdoor DToF lidar for SLAM and path planning applications
• Selectable sensor pack with built-in breadboard to use various IoT sensor modules
• Selectable touch display to implement GUI-based user interface
• Provides high-level Pop Library to help focus on implementing autonomous driving
• Supports autonomous vehicle applications based on robot standard middleware ROS2 and Pop Library
• Supports CUDA-based PyTorch and Tensorflow artificial intelligence framework
• Supports web browser-based Google block coding platform (Blockly)
• Supports pre-set integrated development environment based on Visual Studio Code for professional
  application development
• Provides learning contents for self-driving cars based on deep learning