Coordinating Stakeholders in the Consideration of Performance Indicators and Respective Interface Requirements for Automated Vehicles
New process coordinates stakeholders to make SAE Level 4 AVs self-adaptive against disturbances and internal failures.
A team of researchers, including Richard Schubert and five others, has published a paper on arXiv detailing a novel process for coordinating the complex web of stakeholders involved in developing self-aware automated vehicles. The core challenge addressed is establishing clear performance indicators and interface requirements that allow SAE Level 4 vehicles to monitor their own state (self-perception) and adapt to both external disturbances and internal system failures in real-time. Without a structured approach, decisions about the vehicle's architecture become untraceable, and communication between engineers, safety experts, and regulators breaks down.
The proposed framework is a process-oriented approach that provides the necessary ingredients, steps, and documentation artifacts to ensure effective stakeholder communication, traceability, and knowledge transfer. It was developed and validated based on practical experience gained from applying the process within the this http URL research project. The paper not only presents the methodology but also shares critical lessons learned, identifies existing gaps in current development practices, and outlines concrete steps for future work to advance the field of robust, self-adaptive autonomous systems.
- Proposes a systematic stakeholder coordination process for defining AV performance indicators and interfaces.
- Enables SAE Level 4 vehicles to achieve self-awareness and adapt to runtime failures and disturbances.
- Framework developed from real-world project experience, addressing traceability and communication gaps in AV development.
Why It Matters
Provides a critical blueprint for building safer, more reliable autonomous vehicles that can handle unexpected real-world scenarios.