Simulation is critical to the development of safe autonomous driving systems. However, creating realistic scenarios that accurately depict rare and potentially dangerous situations can be extremely labor intensive. In this episode of DRIVE Labs, we discuss three key advancements from NVIDIA that use generative AI such as text-to-simulation to create realistic environments, generate natural driving behaviors, and edit the resulting scenarios to enable rigorous AV evaluation and training. 00:00:00 - Simulation is critical to safety of autonomous driving systems 00:00:42 - Building realistic road layouts with MapLLM 00:01:18 - Generating natural driving behaviors with LCTGen 00:02:20 - Editing the result with Scenario Editor 00:03:36 - Future integration into the NVIDIA NIM roadmap Resources: Paper: Language Conditioned Traffic Generation: ariostgx.github.io/lctgen Paper: RealGen: RAG for Controllable Traffic Scenarios: arxiv.org/abs/2312.13303 Video: AV Development W...