AIoT AutoCAR Ⅲ G

Catalogue

Product 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

Operating Program

Hardware Specifications

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Training Contents

Layout

Components