차량 기능 안전 및 SOTIF(Safety Of The Intended Functionality)(2025년)
Vehicle Functional Safety and Safety Of The Intended Functionality (SOTIF) Research Report, 2025
상품코드:1704032
리서치사:ResearchInChina
발행일:2025년 04월
페이지 정보:영문 620 Pages
라이선스 & 가격 (부가세 별도)
한글목차
중국의 신에너지 자동차 제조업체가 "지능형 운전의 동등한 권리"를 제안한 것처럼, 높은 수준의 자동 운전 시스템이 작동할 때 시스템이 인계 요청을 한 후 실제로 충돌하기까지 걸리는 시간은 1-2초 밖에 걸리지 않으며, OEM의"의도한 기능의 안전(SOTIF)"설계의 중요성은 자명합니다.(SOTIF)' 설계의 중요성은 자명합니다. 강제적인 산업 표준과 법규는 필수적입니다. 유럽 기능 안전 표준인 ISO 26262의 경우, 책임 메커니즘을 통해 OEM이 안전 설계에 대한 진지한 노력을 기울이도록 강제할 수 있습니다.
최근 몇 년동안 OEM과 공급업체는 기능 안전 인증을 더욱 중시하고 있습니다. 공개 정보 통계에 따르면 2024년 중국 기업은 기능안전 제품 인증 52건을 포함해 134건의 기능안전 인증을 획득했다(2023년 44건).
기능 안전 인증 외에도 SOTIF 표준의 정식 시행으로 지난 2년간 Great Wall Motor, FAW Hongqi, FAW Hongqi, Changan, GAC, Horizon Robotics, Jingwei Hirain, Huawei, Desay SV, SenseAuto 등 20개 이상의 OEM 및 공급업체가 이상의 OEM 및 공급업체가 SOTIF 프로세스를 탑재하고 사전 인증을 획득하여 자율주행 시스템의 추가 레이아웃을 위한 안전 기반을 구축했습니다.
규제 측면에서는 ISO가 기능 안전 인증에 AI를 도입하고 있습니다.
규제 측면에서는 2024년 12월 ISO가 ISO/PAS 8800: 2024 Road Vehicles-Safety and Artificial Intelligence를 공식 발표했습니다. 이 표준은 도로 주행 차량에서 AI 시스템의 안전을 관리하고 강화하며, 자동차 부문에서 AI 기술의 채택이 더욱 확대될 수 있도록 종합적인 안전 프레임워크와 가이드라인을 제공하는 것을 목표로 합니다.
ISO/PAS 8800의 주요 내용은 AI의 안전 수명주기 관리, AI 시스템 안전 요구사항, 설계 및 검증 프로세스, AI 시스템 안전 분석, 데이터 관련 안전 고려사항 등이며, ISO/PAS 8800의 구현을 통해 OEM, 부품 공급업체, 소프트웨어 개발자는 AI 관련 기술 적용에 따른 잠재적 위험을 체계적으로 식별하고 관리하여 전체 자동차 제품의 안전성을 향상시킬 수 있습니다.
또한, ISO는 2027년 출시 예정인 ISO 26262 3판에 AI 시스템의 안전 요구사항을 포함시킬 예정입니다. 여기에는 딥러닝 모델의 고장 모드 식별, 안전 메커니즘 설계, 검증 방법이 포함됩니다.
새로운 3판에서는 OEM이 데이터 수집, 모델 훈련, 배포 검증 및 기타 단계의 투명성과 추적성을 포함한 AI 개발의 완전한 라이프사이클 관리 시스템을 구축할 것을 요구하고 있습니다. 예를 들어, 신경망 출력의 결정성을 보장하기 위한 형식적 검증, AI 구성 요소의 안전 사례 수립 등이 요구됩니다.
또한, 2024년 1월에는 AI 관련 국제표준을 제정하는 IEC와 ISO의 공동위원회인 SC42가 기존의 기능안전 시스템 개발 프로세스와 AI 기술 개발의 기술적 특성 및 프로세스의 차이점에 대응하고, 기능안전 시스템에 AI 기술을 단계적으로 적용할 수 있도록 하기 위한 목적으로 한 ISO/IEC TR 5469 : 2024 Artificial Intelligence - Functional Safety and AI Systems를 수립, 공개하였습니다. 이 보고서는 안전 관련 시스템에서의 AI 기술의 적용 및 사용 수준, AI 기술의 구성요소, 비 AI 기술과 비교했을 때 AI 고유의 기술적 특성과 AI가 가져올 위험, 기능 안전 시스템에서의 AI 기술 적용 방법, AI 제어 시스템의 안전을 보장하기 위한 비 AI 기술 사용 방법, AI 시스템을 이용한 안전 관련 기능의 설계 및 개발 실무 기법 등을 다루고 있습니다.
본 보고서는 중국의 자동차 산업을 조사 분석하여 차량 기능 안전의 현황과 개발 동향, SOTIF 현황, 표준과 정책, OEM 및 솔루션 제공업체 프로파일 등의 정보를 제공합니다.
목차
제1장 차량 기능 안전 현황과 개발 동향
차량 기능 안전의 정의와 개발사
차량 기능 안전 개발 동향 1 :
차량 기능 안전 개발 동향 2 :
차량 기능 안전 개발 동향 3 :
차량 기능 안전 개발 동향 4 :
차량 기능 안전 개발 동향 5 : OEM은 안전성을 더욱 더 중시
제2장 차량 SOTIF 현황과 관련 시나리오 케이스
차량 SOTIF 개요
차량 SOTIF와 기능 안전의 통합 동향
ADAS SOTIF
자율주행 시스템 SOTIF
제3장 차량 기능 안전과 SOTIF에 관한 규격과 정책
차량 기능의 안전 규격과 정책
차량 SOTIF의 규격과 정책
ISO 26262 차량 규격
ISO 21448 차량 규격
제4장 차량 기능 안전 개발과 SOTIF 인증
차량 기능 안전 인증
차량 SOTIF 인증
ASPICE 인증
주요 차량 기능 안전/SOTIF 인증 기관
제5장 주요 자동차 부품과 시스템 기능 안전 요건, 설계, 사례
주요 자동차 부품 기능 안전 요건
자동차용 칩 제품의 기능 안전 설계와 사례
자동차용 운영체제의 기능 안전 설계와 사례
차량 집중형 EEA의 기능 안전 설계와 사례
자동차용 자율주행 시스템의 기능 안전 설계와 사례
차체, 파워트레인, 섀시, 기타 시스템의 기능 안전 설계와 사례
자동차용 콕핏, 배터리 매니지먼트, 기타 시스템의 기능 안전 설계와 사례
제6장 OEM의 기능 안전 및 SOTIF 레이아웃
Changan
GAC Group
Great Wall Motor
Geely
IM Motors
NIO
XPeng
Li Auto
BMW
Mercedes-Benz
Ford
Volvo
제7장 차량 기능 안전 및 SOTIF 솔루션 제공업체
Jingwei HiRain
VECTOR
Bosch
Continental
eSOL
Synopsys
CICV
Saimo Technology
Worthy Technology
OMNEX
PARASOFT
MUNIK
SafenuX
LSH
영문 목차
영문목차
Functional safety research: under the "equal rights for intelligent driving", safety of the intended functionality (SOTIF) design is crucial
As Chinese new energy vehicle manufacturers propose "Equal Rights for Intelligent Driving," when a high-level autonomous driving system is in operation, the time from the system issuing a takeover request to an actual collision is only 1-2 seconds. The importance of "safety of the intended functionality (SOTIF)" design by OEMs is self-evident. Mandatory industry standards and laws and regulations are essential. In the case of the European functional safety standard ISO 26262, accountability mechanisms can compel OEMs to take safety design seriously.
In recent years, OEMs and suppliers have placed greater emphasis on functional safety certification. According to statistics of public information, in 2024, Chinese companies obtained 134 functional safety certifications, including 52 functional safety product certifications (compared to 44 in 2023).
In addition to functional safety certification, driven by the formal implementation of SOTIF standards, over the past two years, more than 20 OEMs and suppliers, including Great Wall Motor, FAW Hongqi, Changan, GAC, Horizon Robotics, Jingwei Hirain, Huawei, Desay SV, and SenseAuto, have deployed SOTIF processes and obtained pre-certification, laying a safety foundation for their further layout of autonomous driving systems.
In terms of regulation, ISO incorporates AI into functional safety certification.
On the regulation front, in December 2024, the International Organization for Standardization (ISO) officially released ISO/PAS 8800:2024 Road Vehicles-Safety and Artificial Intelligence. This standard aims to manage and enhance the safety of AI systems in road vehicles, and provide a comprehensive safety framework and guidelines for ever wider adoption of AI technology in the automotive sector.
The core content of ISO/PAS 8800 includes: AI safety lifecycle management, safety requirements for AI systems, design and verification processes, AI system safety analysis, and data-related safety considerations. Its implementation will effectively help OEMs, component suppliers, and software developers systematically identify and manage potential risks in AI-related technology applications, thereby improving the overall safety of automotive products.
Additionally, ISO plans to include safety requirements for AI systems in the third edition of ISO 26262, scheduled for release in 2027. This will cover failure mode identification for deep learning models, safety mechanism design, and verification methods.
The new third edition requires OEMs to establish a full lifecycle management system for AI development, involving transparency and traceability in data collection, model training, deployment verification, and other stages. For example, formal verification is required to ensure the determinacy of neural network outputs, and safety cases are established for AI components.
Furthermore, in January 2024, SC 42, the joint IEC and ISO committee that develops international standards for artificial intelligence (AI), formulated and released ISO/IEC TR 5469:2024 Artificial Intelligence-Functional Safety and AI Systems, aiming to address the differences between traditional functional safety system development processes, and the technical characteristics and processes of AI technology development and enable the gradual application of AI technology in functional safety systems. The report highlights the application and usage levels of AI technology in safety-related systems, the components of AI technology, the unique technical characteristics and risks introduced by AI compared to non-AI technology, how to apply AI technology in functional safety systems, how to use non-AI technology to ensure the safety of AI-controlled systems, and practical techniques for designing and developing safety-related functions using AI systems.
Suppliers' Layout of Functional Safety Solutions for AI Systems
Facing challenges in AI system safety, suppliers such as Bosch and NVIDIA have introduced AI system safety-related solutions.
For intelligent driving, Bosch has proposed an AI Safety mechanism. Its Chinese and global teams have applied years of expertise in AI safety, including pre-research, practical processes, methodologies, and tools, into every stage of the full development cycle of functional safety for high-level intelligent driving solutions, involving data selection, model safety, and model verification, so as to ensure safety for AI-driven driving systems in all aspects.
Bosch has also introduced an innovative, systematic, and structured solution-the Machine Learning Development V-Model Process, which combines the traditional system/software development V-model and expands with a data-driven approach, referred to as the Data-Driven Engineering (DDE) process.
DDE provides a systematic process for ML system development, featuring a flexible and scalable operational design domain (ODD) analysis method. It standardizes data management methods for ML system development and provides infrastructure for safety analysis, testing, verification, and functional iteration of ML systems.
With the support of AI foundation models, the functional safety processes in vehicle function development, including hazard identification, risk assessment, functional safety concept, system design, and safety implementation, can benefit from AI at each stage.
For example, in the hazard identification phase, AI and LLMs can assist by analyzing vast datasets, historical accidents, and industry reports. They process unstructured data, such as natural language documents, to extract valuable insights that traditional methods might overlook, and detect potential hazards that could escape human eyes.
In October 2024, Jingwei Hirain successfully self-developed HIRAIN FuSa AI Agent, a functional safety agent capable of automatically conducting hazard analysis and risk assessment for functional safety analysis targets, setting safety goals, conducting safety analysis and deriving safety requirements, and continuously performing R&D testing and verification to ensure vehicle safety.
At GTC 2025, NVIDIA announced NVIDIA Halos, a full-stack, comprehensive safety system for autonomous vehicles that brings together NVIDIA's lineup of automotive hardware and software safety solutions with its cutting-edge AI research in AV safety.
Halos is a holistic safety system on three different but complementary levels. At the technology level, it spans platform, algorithmic and ecosystem safety. At the development level, it includes design-time, deployment-time and validation-time guardrails. And at the computational level, it spans AI training to deployment, using three powerful computers - NVIDIA DGX for AI training, NVIDIA Omniverse and NVIDIA Cosmos running on NVIDIA OVX for simulation, and NVIDIA DRIVE AGX for deployment.
Serving as an entry point to Halos is the NVIDIA AI Systems Inspection Lab, which allows automakers and developers to verify the safe integration of their products with NVIDIA technology. The AI Systems Inspection Lab has been accredited by the ANSI National Accreditation Board for an inspection plan integrating functional safety, cybersecurity, AI safety and regulations into a unified safety framework.
The NVIDIA DRIVE AI Systems Inspection Lab also complements the missions of independent third-party certification bodies, including technical service organizations such as TUV SUD, TUV Rheinland and exida, as well as vehicle certification agencies such as VCA and KBA. It dovetails with recent significant safety certifications and assessments of NVIDIA automotive products.
Table of Contents
1 Status Quo and Development Trends of Vehicle Functional Safety
1.1 Definition and Development History of Vehicle Functional Safety
Definition of Vehicle Functional Safety
Reasons Why Vehicle Functional Safety Is Required
Key Features of Vehicle Functional Safety
Development history of Vehicle Functional Safety (1)
Development history of Vehicle Functional Safety (2)
Purpose of Vehicle Functional Safety: Lowering Risks to An Acceptable Level
Basic Principles of Vehicle Functional Safety Design
General Workflow of Vehicle Functional Safety
Example of SEooC Software Development Process
Cost Structure of Vehicle Functional Safety
Classification of Vehicle Functional Safety Software Tools
Design and Verification Methods for Vehicle Functional Safety
Basic Analysis Methods for Vehicle Functional Safety
Basic Definitions Related to Vehicle Functional Safety
1.2 Development Trend 1 of Vehicle Functional Safety:
1.3 Development Trend 2 of Vehicle Functional Safety:
1.4 Development Trend 3 of Vehicle Functional Safety:
1.5 Development Trend 4 of Vehicle Functional Safety:
1.6 Development Trend 5 of Vehicle Functional Safety: OEMs Place Increasing Emphasis on Safety
OEMs Place Greater Emphasis on Functional Safety and SOTIF Requirements
Increasing Functional Safety Certifications of OEMs (1)
Increasing Functional Safety Certifications of OEMs (2)
Increasing Functional Safety Certifications of OEMs (3)
Increasing Functional Safety Certifications of OEMs (4)
Increasing Functional Safety Certifications of OEMs (5)
Increasing SOTIF Certifications of OEMs
Industrial Division of Labor in Vehicle Functional Safety (1)
Industrial Division of Labor in Vehicle Functional Safety (2)
Key Tasks for OEMs and Component Suppliers Regarding Functional Safety
Steps for Implementing Functional Safety in Vehicle Projects of OEMs
Cases of OEMs' Assessment of Suppliers' Functional Safety Capabilities
SOTIF Development and Testing Process
Challenges and Key Elements in Implementing Functional Safety and SOTIF in OEMs
Status Quo and Trends of OEMs Deploying Functional Safety and SOTIF Solutions
2 Status Quo and Related Scenario Cases of Vehicle SOTIF
2.1 Overview of Vehicle SOTIF
Definition of Vehicle SOTIF
Reasons for Proposing Vehicle SOTIF
Analysis of Vehicle SOTIF Scenarios
Purpose of Vehicle SOTIF
SOTIF Methodology (1)
SOTIF Methodology (2)
Vehicle SOTIF System Analysis Methods
Typical Case of L3 SOTIF Design
2.2 Integration Trends of Vehicle SOTIF and Functional Safety
Vehicle Functional Safety VS SOTIF
Integration of Vehicle Functional Safety and SOTIF (1)
Integration of Vehicle Functional Safety and SOTIF (2)
Exploration of Integration of Vehicle Functional Safety and SOTIF Processes
Machine Learning and Vehicle Functional Safety & SOTIF (1)
Machine Learning and Vehicle Functional Safety & SOTIF (2)
Breakthroughs in Real-time SOTIF Risk Perception and Protection Technologies
2.3 SOTIF in ADAS
SOTIF in Lane Keeping System
SOTIF in Autonomous Emergency Braking
SOTIF in Adaptive Cruise Control
SOTIF in Traffic Congestion System
SOTIF in Automated Parking System
SOTIF Design of Control Strategies for Autonomous Emergency Braking (AEB)
2.4 SOTIF in Autonomous Driving System
Composition of Autonomous Driving System
SOTIF Related to Perception
SOTIF Related to Prediction
SOTIF Related to Decision
SOTIF Technologies Related to Control
SOTIF Related to Human-Machine Interaction
SOTIF in V2X
3 Standards and Policies Concerning Vehicle Functional Safety and SOTIF
3.1 Vehicle Functional Safety Standards and Policies
Global Vehicle Functional Safety Standards
Development of Foreign Functional Safety and SOTIF Standards
Development of ISO 26262 International Functional Safety Standards
ISO 26262 Third Edition Update Plan
ISO 26262 Third Edition Update Plan
ISO 26262 Third Edition Update Plan
Vehicle Functional Safety in the EU
Development of Vehicle Functional Safety in the US
Development of Vehicle Functional Safety Standards in China
Vehicle Functional Safety Standard Research Organizations in China
Vehicle Functional Safety Standard Research Organizations in China: Architecture of Vehicle Functional Safety Standardization Promotion Center
China's Special Standards for Vehicle Functional Safety
China's Vehicle Functional Safety Standards
Testing and Evaluation Methods for Vehicle Functional Safety and SOTIF
China's Medium- and Long-Term Plan for Vehicle Functional Safety and SOTIF Standards Research
China's Policies Concerning Vehicle Functional Safety and SOTIF
Guidelines for the Construction of the National Internet of Vehicles Industry Standard System (Intelligent Connected Vehicles) (2023)
Notice on Piloting Admittance and Road Access of Intelligent Connected Vehicles: Overall Requirements and Organized Implementation
Notice on Piloting Admittance and Road Access of Intelligent Connected Vehicles: Supporting Measures
Notice on Piloting Admittance and Road Access of Intelligent Connected Vehicles: Explanation (1)
Notice on Piloting Admittance and Road Access of Intelligent Connected Vehicles: Explanation (2)
Implementation Guide for Piloting Admittance and Road Access of Intelligent Connected Vehicles (Trial): Functional Safety Requirements at Corporate Level
Implementation Guide for Piloting Admittance and Road Access of Intelligent Connected Vehicles (Trial): Corporate Requirements for Functional Safety Guarantee
Implementation Guide for Piloting Admittance and Road Access of Intelligent Connected Vehicles (Trial): Corporate Requirements for SOTIF Guarantee
Implementation Guide for Piloting Admittance and Road Access of Intelligent Connected Vehicles (Trial): Requirements at Product Level
Implementation Guide for Piloting Admittance and Road Access of Intelligent Connected Vehicles (Trial): Requirements for Functional Safety of Vehicles and Autonomous Driving Systems
Implementation Guide for Piloting Admittance and Road Access of Intelligent Connected Vehicles (Trial): Requirements for SOTIF of Vehicles and Autonomous Driving Systems
3.2 Vehicle SOTIF Standards and Policies
Vehicle SOTIF Standards
SOTIF-Related Requirements in Major Countries' Autonomous Driving System Regulations and Standards
China's Main Vehicle SOTIF Standards
Construction of Vehicle SOTIF Standards in China
3.3 ISO 26262 Vehicle Standards
ISO 26262 Vehicle Functional Safety Standards
ISO 26262 First Edition VS Second Edition
ISO 26262 Third Edition Covers New Use Cases
Introduction to ISO 26262 Standard Content
ISO 26262-2: Management of Functional Safety (1)
ISO 26262-2: Management of Functional Safety (2)
ISO 26262-3: Functional Safety Concept
ISO 26262-3: Hazard Analysis and Risk Assessment (HARA) (1)
ISO 26262-3: Hazard Analysis and Risk Assessment (HARA) (2)
ISO 26262-3: Hierarchy of Safety Goals and Functional Safety Requirements
ISO 26262-4: Product Development at the System Level
ISO 26262-4: Technical Safety Concept
ISO 26262-4: System and Item Integration and Testing (1)
ISO 26262-4: System and Item Integration and Testing (2)
ISO 26262-4: System and Item Integration and Testing (3)
ISO 26262-4: System and Item Integration and Testing (4)
ISO 26262-5: Product Development at the Hardware Level (1)
ISO 26262-5: Product Development at the Hardware Level (2)
ISO 26262-5: Hardware Design
ISO 26262-5: Hardware Safety Analysis
ISO 26262-5: Hardware Design Verification
ISO 26262-5: Evaluation of the Hardware Architectural Metrics
ISO 26262-5: Evaluation of Safety Goal Violations due to Random Hardware Failures (1)
ISO 26262-5: Evaluation of Safety Goal Violations due to Random Hardware Failures (2)
ISO 26262-5: Evaluation of Safety Goal Violations due to Random Hardware Failures (3)
ISO 26262-5: Hardware Integration and Testing (1)
ISO 26262-5: Hardware Integration and Testing (2)
ISO 26262-6: Software Functional Safety
ISO 26262-6: General Topics for the Product Development at the Software Level
ISO 26262-6: Software Development Plan
ISO 26262-6: Software Safety Requirements
ISO 26262-6: Software Architectural Design
ISO 26262-6: Software Architectural Design - Software Safety Mechanisms
ISO 26262-6: Software Architectural Design - Mechanisms for Software Error Handling
ISO 26262-6: Software Architectural Design - Software Architecture Verification Methods
ISO 26262-6: Software Unit Design and Implementation
ISO 26262-6: Software Unit Verification
ISO 26262-6: Software Unit Test Case Derivation and Coverage Analysis
ISO 26262-6: Software Integration and Verification
ISO 26262-6: Software Integration Test Coverage
ISO 26262-6: Testing of the Embedded Software
3.4 ISO 21448 Vehicle Standards
Vehicle SOTIF Standards
Development of ISO 21448 Vehicle SOTIF Standards
ISO/CD 21448 Vehicle SOTIF Standards Catalog
Vehicle SOTIF Development Process (1)
Vehicle SOTIF Development Process (2): Specification Definition and Design
Vehicle SOTIF Development Process (3): Hazard Analysis and Risk Assessment
Vehicle SOTIF Development Process (4): Identification and Evaluation of Potential Functional Insufficiencies and Potential Triggering Conditions
Vehicle SOTIF Development Process (5): System Optimization and Improvement
Vehicle SOTIF Development Process (6): Product Verification and Evaluation
Vehicle SOTIF Development Process (7): Product Verification and Evaluation
Vehicle SOTIF Development Process (8): Product Verification and Evaluation
Vehicle SOTIF Development Process (9): Operation Phase Activities
4 Development of Vehicle Functional Safety and SOTIF Certifications
4.1 Vehicle Functional Safety Certification
Overview of Vehicle Functional Safety Certification
Categories of Functional Safety Certification
Main Processes of Vehicle Functional Safety Certification
Basic Steps of Vehicle Functional Safety Process Certification
Basic Steps of Vehicle Functional Safety Product Certification
Cases of Functional Safety Product Certification R&D Process (1)
Cases of Functional Safety Product Certification R&D Process (2)
Achievements in Vehicle Functional Safety Certification
Functional Safety Layout Cases of Suppliers (3): ARM's Split-Core, Lockstep, and Mixed Modes
Functional Safety Layout Cases of Suppliers (3): Application Cases of ARM's Split-Core, Lockstep, and Mixed Modes
5.3 Functional Safety Design and Cases of Automotive Operating Systems
High-Safety Requirements of Next-Gen Intelligent Vehicle Operating Systems
Practical Implementation of Functional Safety for Intelligent Vehicle Operating Systems
Functional Safety of Linux
Functional Safety of BlackBerry QNX OS
Functional Safety Solution for BlackBerry QNX Basic Platform Software
Functional Safety for QNX Virtualization Basic Software Platform
Functional Safety Mechanisms for Intelligent Driving OS: Functional Safety Goals of Functional Software of Intelligent Driving OS of Automotive Intelligence and Control of China (AICC)
Functional Safety Mechanisms for Intelligent Driving OS: Functional Safety Mechanisms of Functional Software of Intelligent Driving OS of Automotive Intelligence and Control of China (AICC)
Functional Safety of Vehicle Control OS
Functional Safety Mechanisms of Vehicle Control OS
5.4 Functional Safety Design and Cases of Vehicle Centralized EEA
Challenges in Design and Development of Functional Safety of Centralized EEA
Functional Safety Development Process of Centralized EEA
Functional Safety Development Requirements of Centralized EEA
Key Factors to Be Considered in Design and Development of Functional Safety for Centralized EEA
Redundancy Design in Functional Safety Development for Centralized EEA
Functional Safety Development Practice Case: IM Motors
Challenges in Hardware Functional Safety in CCU + Zonal Architecture, and Solutions (1)
Challenges in Hardware Functional Safety in CCU + Zonal Architecture, and Solutions (2)
Functional Safety Design of Cockpit-Driving Integration Computing Platform with Dual SoCs (Orin X + Qualcomm 8295)