Dual-Stage LLM Framework for Scenario-Centric Semantic Interpretation in Driving Assistance

1. 1Identify scenario-centric semantic interpretation requirements in urban driving contexts
2. 2Develop a dual-stage LLM framework for reproducible auditing of risk reasoning
3. 3Implement deterministic, temporally bounded scenario windows for improved safety
4. 4Evaluate the framework's performance in real-world driving scenarios

This framework benefits AI engineers and researchers working on autonomous vehicles and ADAS, as it provides a reproducible auditing method for LLM-based risk reasoning

💡 A dual-stage LLM framework can improve safety-relevant failures in ADAS by providing reproducible auditing of risk reasoning

🚗💡 Dual-Stage LLM Framework for safer driving assistance!