论文标题
Interneuron：具有多网络通信可靠性的中间件，用于基础设施合作自动驾驶
INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving
论文作者
论文摘要
基础设施 - 车辆合作自动驾驶（IVCAD）是一种自动驾驶的新范式，它依赖于智能道路和自动驾驶汽车之间的合作。与仅车载自动驾驶范式相比，该范式已显示出更安全，更有效的效率。我们的现实部署数据表明，IVCAD的有效性受到商业通信网络的可靠性和性能的约束。本文针对这个确切的问题，并提出了Interneuron，这是一种在IVCAD的背景下在智能道路和自动驾驶汽车之间实现高通信可靠性的中间件。具体而言，Interneuron动态匹配IVCAD应用程序和基于不同的通信性能和质量需求的基础通信技术。评估结果证实，中间神经元将违反截止日期的违规行为减少了95％以上，从而显着提高了IVCAD系统的可靠性。
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.
