Novel AD/ADAS Virtual Validation with Integration of LLM and Digital Twin Technologies

Prof. Dr. Reza Rezaei･Dr. Alexander Bradler･Dr. Christian Lang･Yassine Neifer･Carsten Simon･Thorsten Scheibe (IAV)

This paper showcases a novel AI-driven method that understands natural language requirements and scenario specifications and videos to create high-fidelity simulations, thereby automating creation and modification of scenarios for enhanced AD/ADAS virtual validation. It comprises three key components: generating simulation models from textual inputs using an adapted large-language model (LLM); extracting scenarios from real test videos using visual LLM, including detection of corner cases like glare and camera soiling; and enhancing criticality with multi-agent approach. The results will be presented for above-mentioned use-cases, covering the spectrum from ADAS to full AD, including co-simulation of different tools based on JAMBE model connection. An assessment of the approach for efficiency enhancement along with an outlook will be provided.

Building trust in collaborative simulations

Henri Sohier･Romain Barbedienne (IRT SystemX)･Julien Silande (ESI)

Collaborative simulations often suffer from organizational silos, hindering trust due to challenges in information exchange about both the simulation and the system it represents. Capturing, controlling, and communicating critical data throughout the development cycle -from specification to validation- requires structured solutions. This paper proposes clear requirements and practical tools to address these challenges. Factors such as the decision-making context, barriers between stakeholders, and their varying levels of technical expertise are carefully considered. Our approach fosters confidence among stakeholders, with a particular focus on the automotive industry, where effective collaboration is crucial to managing system complexity.

Simulation verification and validation: the challenge we all face

Henri Sohier･Romain Barbedienne (IRT SystemX)･Julien Silande (ESI)

Simulation Verification and Validation (V&V) spans a wide range of subtopics and approaches, with nuanced distinctions in system engineering, software engineering, and simulation engineering. Recognized standards, such as those by NASA and NAFEMS, encapsulate various existing practices. V&V is critical to building trust, ensuring credibility, and maintaining quality in simulations and simulation architectures. This article examines methodologies and tools designed to optimize current best practices while fostering effective communication about V&V processes, addressing key challenges in achieving trustworthy and integrated simulation frameworks.

Systems Engineering Initiatives for Promoting MBD

Yuki HIRAYAMA･Takuya MACHIDA･Hironori YUMURA (SUBARU)

Development of automobiles is getting more advanced and complex with increasing demands of CASE and new area. MBD is expected to reduce prototyping period and costs. Many models are built with MBD in the automotive domain; however, there are many issues in the establishment of MBD processes. One of the difficulties is the process changes associated with replacement of prototypes by models. This paper reports our trial not to change existing processes in prototypes. We validated the process from digitalized requirements definition to verification using the framework of the ISO/IEC/IEEE 15288 system lifecycle processes. By applying MBSE and MBD to the existing requirements definition to prototype vehicle production process, we expanded the decision-making domain.