The transition from advanced driver assistance to increasingly autonomous driving systems has fundamentally changed how safety is achieved. These systems combine AI-enabled vehicle functions, sophisticated software, and complex safety-critical system interactions to perform the driving task with limited or no involvement from the driver – requiring an integrated approach to safety, validation, and assurance.
Since 2012, SRES consultants have supported the safe development and deployment of autonomous driving technologies, from early prototype vehicle programs through large-scale commercial autonomous vehicle deployments. We support automotive OEMs, Tier 1 and 2 suppliers, and autonomous vehicle developers in applying Functional Safety (ISO 26262), SOTIF (ISO 21448), AI safety (ISO/PAS 8800), and cybersecurity (ISO/SAE 21434) throughout the product lifecycle, helping organizations develop safer autonomous driving systems while building robust safety assurance arguments and supporting compliance with modern automotive safety standards.
Our consulting experience directly informs the professional training we deliver. SRES instructors are senior industry practitioners with decades of experience supporting functional safety, SOTIF, cybersecurity, autonomous systems, electric vehicle development, and AI safety.
In addition to our public training programs, we offer private and customized training for teams, combining instructor-led delivery with tailored content and discussion focused on your organization’s specific development challenges.
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A practical explanation of how unsafe control actions (UCAs) can be refined into functional, logical, and concrete test scenarios for automated driving systems—using STPA and the ISO 3450x scenario standards.
How do organizations build confidence in AI-driven, safety-critical systems when their behavior is learned from data rather than explicitly programmed? In this Fireside Chat, SRES
ISO/IEC TR 5469 provides foundational guidance on functional safety and AI systems, while ISO/IEC TS 22440 advances toward actionable engineering requirements. This article compares their roles, scope, and relevance for AI safety-related control systems.
We’re here to provide the guidance and support you need to navigate the complexities of engineering with responsibility and safety at the forefront.
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