AutoMine Solution for AV2 2026 Scenario Mining Challenge
Researchers have developed AutoMine, a novel method for extracting critical scenarios from autonomous driving data using Large Language Models (LLMs) and Vision-Language Models (VLMs). This approach enhances prompt sensitivity reduction and integrates trajectory functions with VLM capabilities to manage perception noise and visual cues. AutoMine refines generated code through feedback from real-world log executions, achieving strong performance in the Argoverse 2 Scenario Mining Competition. AI
IMPACT This method could improve the safety and efficiency of autonomous driving systems by enabling better data-driven evaluation.