In this work, we use the communication of intent as a means to facilitate cooperation between autonomous vehicle agents. Generally speaking, intents can be any reliable information about its future behavior that a vehicle communicates with another vehicle. We implement this as an intent-sharing task atop the merging environment in the simulator of highway-env, which provides a collection of environments for learning decision-making strategies for autonomous vehicles. Under a simple setting between two agents, we carefully investigate how intent-sharing can aid the receiving vehicle in adjusting its behavior in highway merging scenarios.
@article{arxiv.2309.13206,
title = {Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios},
author = {Nishtha Mahajan and Qi Zhang},
journal= {arXiv preprint arXiv:2309.13206},
year = {2023}
}