Virtual Validation Methodology and Credibility Assessment for Automated Driving Systems with Applications to NCAP 2029
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265366
- Paper/Info type
- Proceedings (Spring)
No.84-26
- Pages
- 1-8(Total 8 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- English
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) Reza Rezaei, 2) Gnana Prakash Reddy Madduri, 3) Abhishek Singh Kudavale, 4) Christian Lang, 5) Kento Fukuhara |
|---|---|
| Author(E) | 1) Reza Rezaei, 2) Gnana Prakash Reddy Madduri, 3) Abhishek Singh Kudavale, 4) Christian Lang, 5) Kento Fukuhara |
| Affiliation(J) | 1) IAV, 2) IAV, 3) IAV, 4) IAV, 5) IAV |
| Affiliation(E) | 1) IAV, 2) IAV, 3) IAV, 4) IAV, 5) IAV |
| Abstract(E) | This paper presents a methodology for virtual validation and credibility assessment based on EU 2022/1426 and ISO 3540x. The methodology incorporates co-simulation for overall system modeling and validation of automated driving (AD) Level 3+ systems, integrating evidence-based real-world scenarios. Furthermore, it is designed to align with NCAP 2029 requirements, ensuring applicability for virtual testing and crash avoidance safety rating programs. By combining advanced physics-based validation techniques to ensure simulation credibility with a novel LLM-based scenario creation, the framework supports the virtual development and validation of AD systems, addressing future needs for cost reduction, reliability, and extensive mileage testing. |
