Home > Solution > ADCU Ⅱ: A Key Part Of Commercialization Of Autonomous Driving Technology
along withL2+The increasingly mature and popularization of the autonomous driving technology, the automotive industry is undergoing a major transformation from a traditional distributed electronic architecture to a centralized domain control architecture.This change is not only to meet the increasingly complex intelligent driving needs, but also to improve the integration of vehicles, reduce system costs, enhance software reuse, and upgrade capabilities.In this context, traditional distributed controllers are gradually difficult to meet the demand for high -performance and high -efficiency autonomous driving systems due to its flexibility and scalability restrictions.
The birth background of the birth controller
One -way, as the name suggests, refers to the integration of driving (daily driving scenes such as highways, urban roads, etc.) and parking (automatic parking scenarios in low -speed and complex environments).manage.This design idea aims to achieve efficient utilization of software and hardware resources through high degree of integration. At the same time, simplify the system architecture, reduce communication delays, and improve the response speed and reliability of the autonomous driving system.
ADCU Ⅱ:High -performance operation integrated domain controller solution
ADCU As a dedicatedL2+The high -performance domain controller of the autonomous driving function design above and above integrates an advanced computing platform,FMS6410CSXThe sensor fusion algorithm, decision planning, and execution control module can support diversified autonomous driving application scenarios such as highway driving to independent passenger parking.Its core advantage is:
12. High -performance computing platform: the latest high -performance chip is adopted, such asAIAccelerator provides strong data processing capabilities and efficient energy efficiency ratios to ensure the real -time and accuracy of complex environmental perception and decision -making and planning tasks.
2Deep sensor fusion:all[a1] A variety of sensor data such as the camera, radar, lidar, and other sensor data can be perceived by advanced algorithm through the advanced algorithm, and high -precision recognition can be maintained even under severe weather or complex light conditions.
3, Flexible software architecture: Based onSOA(Service-Oriented Architecture, Service -oriented architecture) design, supporting modular development and rapid iteration, facilitating functions of functions, modification and upgrading, and accelerating the listing time of new functions.
4, Security redundant design: followISO 26262Functional safety standards, through multiple backup mechanisms and failure diagnostic strategies to ensure the safety and reliability of the autonomous driving system.
5Cost benefits: Although the integration of high -performance hardware and complex software seems to increase costs, it will increase costs, but through large -scale procurement, standardized design, and software and hardware decoupling,ADCU Ⅱ can effectively control costs while ensuring performance, which meets the strict requirements of the entire vehicle manufacturer on cost control.
Help the automobile high -end autonomous driving function landing
ADCU The launch of Ⅱ not only solves the cost and performance balance problem faced in the process of achieving high -end autonomous driving function, but also promotes the technological progress and ecological construction of the entire industrial chain.It enables car manufacturers to push advanced autonomous driving technology to the market faster, enhance user experience, and enhance brand competitiveness.In addition, the design concept of integrated into one is also a higher level of autonomous driving in the future (such asL3、L4) It laid a solid foundation and promoted the automotive industry towards intelligent and networking.
ADCU ⅡAs a targetL2+Customized Domaining Domain controller with customized autonomous driving functions, through technological innovation and system optimization, realized the effective combination of low cost and high performance, which is a key part of promoting the commercialization of autonomous driving technology.Provided strong support.
Solution
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