Cooperative driving: Beyond V2V as an ADAS sensor

D. Caveney, W. Dunbar
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引用次数: 28

Abstract

Vehicle-to-Vehicle (V2V) communication systems utilize wireless communications for shared sensing between vehicles. This paper discusses how V2V systems could be utilized, beyond shared sensing, for shared decision making between cooperative vehicles. We propose distributed receding horizon control (DRHC) as an appropriate mechanism for scalable, shared decision making. Two automated driving applications, platooning and cooperative merging, illustrate the use of essential enabling technologies, including geo-spatial positions, digital road maps, collision avoidance, and path prediction, and how each is incorporated through our DRHC-centric framework. At the core of the framework is a four-task logic that allows partially-synchronous execution of local, computationally-efficient, optimization problems on board each vehicle.
协同驾驶:超越V2V作为ADAS传感器
车对车(V2V)通信系统利用无线通信在车辆之间共享感知。本文讨论了除了共享感知之外,如何利用V2V系统在合作车辆之间进行共享决策。我们提出分布式地平线后退控制(DRHC)作为一种可扩展的、共享的决策机制。两个自动驾驶应用,队列驾驶和协同合并,说明了基本支持技术的使用,包括地理空间定位、数字道路地图、避碰和路径预测,以及如何通过我们以drhc为中心的框架将它们结合起来。该框架的核心是一个四任务逻辑,允许在每辆车上局部同步执行计算效率高的优化问题。
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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