Embedded automatic driving controller and safety monitoring method thereof

Abstract

The invention provides an embedded automatic driving controller and a safety monitoring method thereof. The controller comprises a GPS module, a V2X module, a camera signal processing module, a Flexray communication module 1, a Flexray communication module 2, a Flexray communication module 3, a CAN communication module 1, a CAN communication module 2, a CAN communication module 3, a CAN communication module 4, an analog signal procesing module, a switch signal processing module, a driving and protecting module, a power supply protecting module, a power supply management module, a DCDC module,a motion processing module, an MCU, an FPGA_A processor, an FPGA_B processor and a CPU. The safety monitoring method of the controller comprises the steps of performing initialization processing on the MCU, the FPGA_A procesor and the CPU; performing self testing of the MCU, the FPGA_A processor and the CPU; performing a periodic control task; and performing a periodic testing task. The embedded automatic driving controller and the safety monitoring method thereof improve safety and reliability in operation of an automatic driving system.

Description

technical field [0001] The invention relates to a controller, more specifically to an embedded automatic driving controller and a safety monitoring method thereof, and belongs to the technical field of automobile automatic driving and embedded controllers. Background technique [0002] At present, the technology of autonomous driving is developing rapidly. Major OEMs at home and abroad have invested a lot of manpower and material resources to conduct in-depth research on this technology and put it into application. Various demo models of SAE L3 and SAE L4 levels have been released one after another; The driving controller is the brain of the automatic driving system, which plays a key role. [0003] Due to the constraints of high-performance chips for core components, there are mainly the following solutions for autonomous driving controllers: 1. Intel adopts the Mobileye + Altera + Movidius solution, including Mobileye's EyeQ series chips (ASIC), Altera's FPGA chip, and Mov...

AI Technical Summary

Problems solved by technology

However, the above solutions have different problems: Intel’s Mobileye and Movidius use dedicated ASIC chip technology, which optimizes the dedicated algorithm, but it is expensive and the application is not flexible; Nvidia’s GPU has excellent parallel computing capabilities , but the power consumption is too high, which is not conduciv

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