INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving

TL;DR

This paper introduces INTERNEURON, a middleware designed to enhance communication reliability in infrastructure-vehicle cooperative autonomous driving, significantly reducing deadline violations and improving system safety and efficiency.

Contribution

It presents a novel middleware that dynamically matches communication technologies to application needs, addressing reliability issues in IVCAD systems.

Findings

Reduces deadline violations by over 95%

Improves communication reliability in IVCAD

Enhances safety and efficiency of autonomous driving

Abstract

Infrastructure-Vehicle Cooperative Autonomous Driving (IVCAD) is a new paradigm of autonomous driving, which relies on the cooperation between intelligent roads and autonomous vehicles. This paradigm has been shown to be safer and more efficient compared to the on-vehicle-only autonomous driving paradigm. Our real-world deployment data indicates that the effectiveness of IVCAD is constrained by reliability and performance of commercial communication networks. This paper targets this exact problem, and proposes INTERNEURON, a middleware to achieve high communication reliability between intelligent roads and autonomous vehicles, in the context of IVCAD. Specifically, INTERNEURON dynamically matches IVCAD applications and the underlying communication technologies based on varying communication performance and quality needs. Evaluation results confirm that INTERNEURON reduces deadline violations by more than 95\%, significantly improving the reliability of IVCAD systems.