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Coordinated Maneuvering of Automated Vehicles in Platoons

机译:排自动驾驶汽车的协调机动

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To eventually have automated vehicles operate in platoons, it is necessary to study what information each vehicle must have and to whom it must communicate for safe and efficient maneuvering in all possible conditions. This paper formulates the problem in terms of sensing and communicated information. By emulating platoons using a group of mobile robots, the authors demonstrate the feasibility of maneuvers (such as entering, exiting, and recuperating from an accident) using different distributed coordination strategies. The coordination strategies studied range from no communication to unidirectional or bidirectional exchanges between vehicles and to fully centralized decision by the leading vehicle. One particularity of this paper is that instead of assuming that the platoon leader or all vehicles globally monitor what is going on, only the vehicles involved in a particular maneuver are concerned, distributing decisions locally among the platoon. This paper reports experimental trials using robots having limited and directional perception of other things, using vision and obstacle avoidance sensing. Results confirm the feasibility of the coordination strategies in different conditions and various uses of communicated information to compensate for sensing limitations
机译:为了最终使自动驾驶汽车在排中行驶,有必要研究每辆汽车必须拥有哪些信息,以及必须与谁交流以在所有可能的情况下进行安全有效的操纵。本文从感知和交流信息的角度来阐述问题。通过使用一组移动机器人模拟排,作者展示了使用不同的分布式协调策略进行机动(如进入,退出事故和从事故中恢复)的可行性。研究的协调策略从无通信到车辆之间的单向或双向交换,再到主导车辆的完全集中决策。本文的一个特殊之处在于,与其假设排长或所有车辆在全球范围内监视所发生的情况,不如关注涉及特定机动的车辆,而是在排中局部分配决策。本文报道了使用视觉和避障感知技术对其他事物进行有限方向性感知的机器人进行的实验性试验。结果证实了在不同条件下以及各种使用交流信息来弥补感知限制的情况下协调策略的可行性

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