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AI Computing Units

Solution of AI Computing Application Scenario

GEAC91VP Series

The GEAC91VP AI controller is designed specifically for the application of self-driving vehicles such as mobile robot, robotaxi, robobus, etc. With two NVIDIA Jetson Xavier modules inside, the controller is able to meet the critical computing power requirement from the complicated operations of multi-sersor data fusion,object classification,behavior forecast,control strategy determination, and so on. An automotive-grade multi-core MCU TC397 from Infineon,is embedded on the carrying board to execute the critical tasks of controlling the vehicle and managing the system status. A GPS module and a CPLD chip consist of the time synchronizing system, which provides time information and trigger signals aligning to the UTC time to different processors and sensors connected to the controller. The GEAC91VP controller supports most commonly used sensors on the self-driving vehicles, including GMSL cameras, LiDARs,radars, ultrasonic radars, etc. There are two versions of water cooling and air cooling available for the product.

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GEAC91VP
Product
description

Product Characteristics

  • Two NVIDIA Jetson Xavier modules
  • vehicle-level MCU processor to run a safety system that meets the requirements of vehicle regulations
  • The built-in hardware timing synchronization circuit provides a safe and reliable clock source for the autonomous driving vehicle system
  • Main interface resources: provide 16 x GMSL2 camera interfaces, each can be triggered independently; 12 x CAN bus interfaces (all support canfd); 2 x LIN interfaces, 2 x Gigabit car Ethernet, 2 x 10 Gigabit Ethernet, supports for dual power supply, PPS, GPRMC, TRIGGER, PTP and other commonly used external timing interfaces
  • IP65 protection level; Working environment temperature range of -20 -60 ° C with full load; Vibration tolerance with random vibration of 3Grms 10-1000 Hz.
  • MTBF >50000 hours
Application Scenarios
低速无人车无人船主控单元
低速无人车无人船主控单元
高速无人车自动驾驶SensorBOX应用
高速无人车自动驾驶SensorBOX应用