Heterogeneous multi-chip intelligent driving controller

Abstract

The invention discloses a heterogeneous multi-chip intelligent driving controller. An MCU receives vehicle information required for controlling intelligent driving of a vehicle through an Ethernet information interaction module and a CAN communication module, and controls vehicle operation according to a path plan and a driving decision sent by a first processor. An MCU power supply module can perform functional safety check with the MCU. The first processor collects vehicle information needed to maintain the intelligent driving of the vehicle, digitizes the scene in which the vehicle is located, and makes the path plan to form the driving decision. A first processor power supply module can be in communication with the MCU and perform function verification with the first processor. The second processor receives the information from a front view camera, can support the machine vision algorithm, and extracts the traffic information in front of the vehicle necessary for maintaining the intelligent driving of the vehicle through machine learning. The controller further comprises a second processor power supply module, the Ethernet information interaction module and the CAN communication module. The controller can improve the information interaction efficiency between different circuit architecture processors.

Description

technical field [0001] The invention relates to the field of automobiles, in particular to a heterogeneous multi-chip intelligent driving controller. Background technique [0002] In recent years, the United States, many European countries, and many Asian countries have formulated a number of relevant policies on intelligent driving to promote the integration of intelligent driving vehicles with existing transportation systems and encourage the development of intelligent driving technology. [0003] In May 2015, "Made in China 2025" was issued, and unmanned vehicles were regarded as one of the important directions for the future transformation and upgrading of the automobile industry. Relevant laws and regulations have also been put on the agenda. [0004] The broad commercialization prospects of intelligent driving have also attracted extensive attention from the capital market. Investment institutions, Internet giants, etc. have cooperated with car companies, scientific r...

AI Technical Summary

Problems solved by technology

[0008] Audi has mass-produced the intelligent driving decision controller ZFAS, but its manufacturing cost is high due to the use of FPGA

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