How can I simulate AV conflicts in CARLA?
Injecting Conflict Situations in Autonomous Driving Simulation using CARLA
This paper focuses on simulating realistic conflict scenarios in autonomous driving using the CARLA simulator. It introduces a toolkit for creating various conflict situations (e.g., lane merges, sensor failures, obstacles) to study driver takeover requests in Level 3 autonomy.
While not directly about LLMs, the toolkit and research contribute to multi-agent systems by: (1) providing a simulated environment for studying interactions between autonomous agents (the car) and human agents (the driver) under various conditions; (2) focusing on situation awareness and decision-making, vital for effective multi-agent collaboration; (3) enabling research on how different explanations during takeovers can improve a human agent's understanding and reaction. This framework could be extended to incorporate LLM agents for tasks like generating natural language explanations or mediating agent interactions within the driving simulation.