基于协同感知与控制的基础设施-车辆系统研究进展

Guizhen Yu, Han Li, Yunpeng Wang, Peng Chen, Bin Zhou
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引用次数: 10

摘要

随着自动驾驶汽车(cav)的快速发展,道路基础设施和交通运输正在经历一场深刻的变革。近年来,基于协同感知与控制的基础设施-车辆系统(IVS)在智能交通领域受到越来越多的关注。通过各种类型的传感器或通信网络可以获得周围物体的感知信息。自动驾驶汽车或基础设施产生的控制命令可以及时准确地执行,从而提高交通系统在安全、效率、舒适和节能方面的整体性能。本研究对近十年来合作感知与控制支持IVS的研究进展进行了综述。从基础设施与自动驾驶汽车以及自动驾驶汽车之间的本质交互出发,对基础设施-车辆协同感知与控制方法进行了总结和分析。并以矿区为封闭场景,展示了IVS的应用现状。最后,对协同感知与控制技术实施中存在的问题进行了讨论,并对未来的研究方向提出了建议。
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A review on cooperative perception and control supported infrastructure-vehicle system

With the rapid development of connected autonomous vehicles (CAVs), both road infrastructure and transport are experiencing a profound transformation. In recent years, the cooperative perception and control supported infrastructure-vehicle system (IVS) attracted increasing attention in the field of intelligent transportation systems (ITS). The perception information of surrounding objects can be obtained by various types of sensors or communication networks. Control commands generated by CAVs or infrastructure can be executed promptly and accurately to improve the overall performance of the transportation system in terms of safety, efficiency, comfort and energy saving. This study presents a comprehensive review of the research progress achieved upon cooperative perception and control supported IVS over the past decade. By focusing on the essential interactions between infrastructure and CAVs and between CAVs, the infrastructure-vehicle cooperative perception and control methods are summarized and analyzed. Furthermore, the mining site as a closed scenario was used to show the current application of IVS. Finally, the existing issues of the cooperative perception and control technology implementation are discussed, and the recommendation for future research directions are proposed.

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