How can we make autonomous driving systems safer through generative AI? In this episode, we explore LD-Scene, a novel framework that combines Large Language Models (LLMs) with Latent Diffusion Models (LDMs) to create controllable, safety-critical driving scenarios. These adversarial scenarios are essential for evaluating and stress-testing autonomous vehicles, yet they’re extremely rare in real-world data.
Sources referenced in this episode:
Mingxing Peng, Yuting Xie, Xusen Guo, Ruoyu Yao, Hai Yang, Jun Ma: “LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios”
Disclaimer: This podcast summary was generated with the assistance of Google’s NotebookLM AI. For full technical details and comprehensive findings, please consult the original research paper.
