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- Titel:
LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systems
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Petrovic, Nenad; Kroth, Norbert; Torschmied, Axel; Song, Yinglei; Pan, Fengjunjie; Zolfaghari, Vahid; Purschke, Nils; Kirchner, Sven; Wu, Chengdong; Schamschurko, Andre; Zhang, Yi; Knoll, Alois
- Jahr:
- 2025
- WWW:
- https://arxiv.org/abs/2511.21877
- Hinweise:
- This paper presents an event-chain-driven, LLM-empowered workflow for generating validated, automotive code from natural-language requirements. A Retrieval-Augmented Generation (RAG) layer retrieves relevant signals from large and evolving Vehicle Signal Specification (VSS) catalogs as code generation prompt context, reducing hallucinations and ensuring architectural correctness. Retrieved signals are mapped and validated before being transformed into event chains that encode causal and timin...
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