INTERNEURON: インフラ車両協調自動運転のためのマルチネットワーク通信信頼性を実現するミドルウェア
INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving
インフラ車両協調自動運転において、通信性能と品質要件に応じてアプリケーションと通信技術を動的にマッチングするミドルウェアを提案し、デッドライン違反を95%以上削減した。
著者: Tianze Wu, Shaoshan Liu, Bo Yu, Sa Wang, Yungang Bao, Weisong Shi
分類: cs.RO, cs.PL
原文アブストラクト
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.
