Automated Driving Systems

An Automated Driving System (ADS) is a combination of hardware and software that performs the entire Dynamic Driving Task (DDT) on a sustained basis within a specific Operational Design Domain (ODD). As defined by SAE J3016, ADS corresponds to automation levels 3 through 5, where the system is responsible for driving, unlike Advanced Driver-Assistance Systems (ADAS) at levels 1-2. In enterprise risk management, ADS is the central focus of safety and security. Its development must comply with stringent standards, including ISO 26262 for functional safety, ISO 21448 for Safety of the Intended Functionality (SOTIF), and ISO/SAE 21434 for cybersecurity engineering. The landmark EU Regulation 2022/1426 establishes the first comprehensive legal framework for the type-approval of fully automated vehicles (SAE Level 4), mandating a robust Safety Management System (SMS) and a multi-pillar testing approach to ensure safety before market entry.

In enterprise risk management, managing an ADS focuses on achieving regulatory compliance and ensuring safety. The practical application involves three key steps: 1. **Establishing a Safety Management System (SMS):** As mandated by EU Regulation 2022/1426, companies must implement a comprehensive SMS covering safety policy, risk assessment, validation processes, and in-service monitoring, which is subject to audit by approval authorities. 2. **Performing Integrated Risk Assessments:** This combines methodologies from ISO 26262 (HARA) and ISO 21448 (SOTIF) to systematically identify all potential hazards within the ODD and derive safety goals. 3. **Implementing a Multi-Pillar Testing Strategy:** A combination of simulation, closed-course testing, and real-world driving is used to validate ADS performance across thousands of scenarios, ensuring test coverage exceeds 99%. For example, a leading OEM applied this process, achieving a 100% first-pass rate for type approval and reducing late-stage design changes by 40%.

Taiwan enterprises face three primary challenges when implementing ADS: 1. **Regulatory Lag:** The absence of a local type-approval framework equivalent to EU Regulation 2022/1426 creates uncertainty for product compliance. 2. **Complex Traffic Environment:** Taiwan's high-density mixed traffic, with numerous scooters and unpredictable pedestrian behavior, poses significant challenges for ADS perception and decision-making algorithms that go beyond standard test cases. 3. **System Safety Talent Gap:** While strong in hardware manufacturing, Taiwan has a shortage of talent in system-level safety and cybersecurity engineering compliant with ISO 26262 and ISO/SAE 21434. To overcome these, companies should proactively adopt leading international standards as their design baseline, build localized scenario databases for robust testing, and partner with expert consultants to rapidly implement compliant processes and train their engineering teams.

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