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 conducive to reducing the power consumption of the whole vehicle, and its price is expensive; the industrial computer solution has obvious price advantages and can meet the functional requirements of automatic driving, but it is mainly aimed at industrial applications, and its interface and performance cannot meet the needs of vehicles. Standard

Images