TUM's PlannerForge Uses LLM Agents to Automate Scenario-Based Testing of Autonomous Driving Motion Planners
TUM-AVS · hf · 2026-09-10
TUM-AVS released PlannerForge on Hugging Face, an LLM-agent framework that unifies every stage of scenario-based testing for autonomous driving motion planners. It covers generation, selection, and modification of test scenarios plus planning evaluation, and improves performance across both commercial and open-source models — a practical demonstration of LLM agents in AD safety validation.
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