At the "Future Automobile Developers Conference" held on the 27th, Huawei Smart Car Solution BU (hereinafter referred to as "Huawei") and Beijing Saimu Technology Co., Ltd. (hereinafter referred to as "Samu" Technology"), officially released a jointly developed autonomous driving function cloud platform to achieve process-based analysis of functional safety and expected functional safety, aiming to accelerate the development and verification of intelligent connected vehicles and promote industrial development.
On April 20 this year, Huawei and Saimu Technology officially signed a strategic cooperation agreement. The two parties formed an in-depth partnership in intelligent connected vehicle simulation tool chains, test verification methods, and vehicle operating systems. Conduct research and cooperation on the evaluation system of vehicle-mounted intelligent computing platforms and related standards and specifications.
After half a year, Huawei and Saimu Technology jointly created a The autonomous driving function cloud platform provides high-quality and efficient expected functional safety analysis, simulation testing, verification and evaluation service capabilities to the industry.
The autonomous driving function cloud platform is the first independent and controllable autonomous driving function cloud platform in China jointly built by both parties. It is based on Huawei's autonomous driving cloud service and openly integrates Saimu Technology's simulation scenarios. , outstanding capabilities in the fields of expected functional safety, scene effectiveness analysis, and simulation evaluation, effectively solving the challenges faced by autonomous driving algorithm testing and verification, and achieving significant improvements in simulation efficiency, quality, and cost-effectiveness.
The platform supports functional safety and expected functional safety analysis processes that comply with standard requirements, covering system and function definition, hazard analysis, limitation and trigger condition analysis, improvement measures, formulation of verification strategies, residual risk assessment, etc. Supports automatic generation of scenarios and execution of tests, breaks down the barriers between tool modules and scenario data, and enables a closed loop of test verification through expected functional safety analysis, automatic generation of expected functional safety test scenario libraries, automated simulation testing, and generation of residual risk assessment reports.
Through cloud simulation, it can also meet the requirements for massive scenarios for autonomous driving algorithm verification, and can efficiently construct special scenes and dangerous scenarios, accelerate the solution of long-tail problems, and improve the robustness of autonomous driving algorithms.