优化与V2X通信共享传感器数据的通道资源使用

IF 0.7 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

At-Automatisierungstechnik Pub Date : 2023-04-01 DOI:10.1515/auto-2022-0162

Quentin Delooz, A. Vinel, Andreas Festag

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引用次数: 0

摘要

V2X通信中的传感器数据共享使车辆能够相互交换本地感知的传感器数据，以提高其环境意识。它依赖于选定的、与安全相关的对象的定期交换。对象选择用于减少通道资源的使用。此外，车辆使用拥塞控制机制来避免通道超载。目前，对象选择机制和拥塞控制机制都是独立运行的。我们研究了一种将两者相结合并提高传感器数据共享性能的拥塞感知对象滤波方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimizing the channel resource usage for sensor data sharing with V2X communications

Abstract Sensor data sharing in V2X communication enables vehicles to exchange locally perceived sensor data with each other to increase their environmental awareness. It relies on the periodic exchange of selected, safety-relevant objects. Object selection is used to reduce channel resource usage. Additionally, vehicles use congestion control mechanisms to avoid overloading the channel. Currently, both object selection and congestion control mechanisms operate independently. We study a congestion-aware object filtering approach combining both and improving the performance of sensor data sharing.

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来源期刊

At-Automatisierungstechnik 工程技术-自动化与控制系统

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Automatisierungstechnik (AUTO) publishes articles covering the entire range of automation technology: development and application of methods, the operating principles, characteristics, and applications of tools and the interrelationships between automation technology and societal developments. The journal includes a tutorial series on "Theory for Users," and a forum for the exchange of viewpoints concerning past, present, and future developments. Automatisierungstechnik is the official organ of GMA (The VDI/VDE Society for Measurement and Automatic Control) and NAMUR (The Process-Industry Interest Group for Automation Technology). Topics control engineering digital measurement systems cybernetics robotics process automation / process engineering control design modelling information processing man-machine interfaces networked control systems complexity management machine learning ambient assisted living automated driving bio-analysis technology building automation factory automation / smart factories flexible manufacturing systems functional safety mechatronic systems.