Autonomous Vehicles

Autonomous Vehicles (AVs) are vehicles that use sensors, AI, and control systems to operate in real-world environments without real-time human intervention. Their capability is classified into six levels (0-5) by the SAE J3016 standard, with Level 3 and above considered highly automated. In risk management, AVs are critical systems requiring a 'Safety by Design' approach due to their complexity and high-impact potential. Their governance framework must comply with multiple standards: ISO 26262 for functional safety, ISO 21448 (SOTIF) for safety of the intended functionality, and ISO/SAE 21434 for cybersecurity. This fundamentally distinguishes them from Advanced Driver-Assistance Systems (ADAS), which only provide support and represent a lower risk profile.

Enterprises developing AV technologies must embed risk management throughout the product lifecycle. Key steps include: 1. **Hazard Analysis and Risk Assessment (HARA)**: Following ISO 26262-3, systematically identify potential hazards, and assess their severity, exposure, and controllability to determine the Automotive Safety Integrity Level (ASIL), ranging from A to D. 2. **Safety Concept and Design**: Based on HARA, establish a Functional Safety Concept with clear safety goals. This is then cascaded down into Technical Safety Requirements for hardware and software, such as designing redundant systems or safe failure-response mechanisms. 3. **Verification and Validation (V&V)**: Conduct rigorous testing through Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), closed-course, and on-road trials to validate that safety mechanisms are effective and meet ISO 26262 and ISO 21448 requirements. Implementing this process can increase supplier audit pass rates to over 95% and significantly reduce product recall risks.

Taiwanese enterprises face three primary challenges in AV development: 1. **Regulatory Gaps**: While Taiwan's 'Unmanned Vehicle Technology Innovative Experimentation Act' provides a sandbox, a comprehensive legal framework for commercial deployment, type approval, and liability, aligned with international regulations like UN R157, is still underdeveloped. Solution: Proactively engage in policy dialogues and adopt international standards early in the design phase. 2. **Technology Dependence**: Critical components like LiDAR and high-performance AI chips are heavily reliant on imports, creating cost and supply chain vulnerabilities. Solution: Strengthen industry-academia collaboration to leverage Taiwan's semiconductor strengths for domestic R&D. 3. **Talent Shortage**: There is a significant lack of professionals with integrated expertise across mechanics, electronics, software, AI, functional safety (ISO 26262), and cybersecurity (ISO/SAE 21434). Solution: Partner with universities and expert consultancies to establish internal training programs and adopt standardized development processes.

Winners Consulting specializes in autonomous vehicles for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact