Description
The GEAC91VP AI controller is designed specifically for the application of self-driving vehicles such as mobile robots, 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-sensordata 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.
FEATURES
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
