How can I simulate realistic cooperative perception in autonomous driving?
EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models
This paper introduces EI-Drive, a new autonomous driving simulation platform built on CARLA that incorporates realistic communication models (including latency and errors) into cooperative perception. This allows for more realistic testing of multi-agent autonomous driving algorithms.
Key features for LLM-based multi-agent systems include: the realistic communication model simulating latency and errors between agents (crucial for accurate multi-agent interactions), the ability to fuse data from heterogeneous agents like vehicles and RSUs using a simple late fusion method (demonstrating a basic form of multi-agent cooperation which could be extended with LLMs), and customizable built-in scenarios for testing complex multi-agent interactions under various network conditions. This allows researchers to explore how LLMs can improve communication and cooperation within multi-agent systems, particularly in handling uncertainty and delays.