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ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
May 24, 2024, 4:46 a.m. | Jiawei Zhang, Chejian Xu, Bo Li
cs.LG updates on arXiv.org arxiv.org
Abstract: We present ChatScene, a Large Language Model (LLM)-based agent that leverages the capabilities of LLMs to generate safety-critical scenarios for autonomous vehicles. Given unstructured language instructions, the agent first generates textually described traffic scenarios using LLMs. These scenario descriptions are subsequently broken down into several sub-descriptions for specified details such as behaviors and locations of vehicles. The agent then distinctively transforms the textually described sub-scenarios into domain-specific languages, which then generate actual code for prediction …
abstract agent arxiv autonomous autonomous vehicles capabilities cs.ai cs.lg generate knowledge language language model large language large language model llm llms safety safety-critical traffic type unstructured vehicles
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