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A Right-of-way Negotiation System Using Inter-Vehicle Communication on a Road with a Mix of Autonomous and Human-Driven Vehicles

机译:使用车间通信在道路上进行自主和人机驱动车辆的惯用型谈判系统

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The Japanese government aims to introduce completely autonomous vehicles by 2030. Autonomous vehicles are expected to reduce the number of accidents and traffic jams. However, incomplete exchange of yielding intention between human-driven vehicles and computer-controlled autonomous vehicles, which will run on same roads, may lead to accidents or traffic jams. This paper proposes a system that enables vehicles to accurately transmit their yielding intention to other vehicles via inter-vehicle communication, irrespective of whether the vehicles concerned are driven by a human or a computer. We have identified seven patterns of yielding situations between vehicles and developed a system that enables safe yielding in each pattern. We have implemented the proposed system in Raspberry Pi computers and mounted them on radio control cars in order to evaluate operations of the system. The computer on each car recognizes the road width, nearby vehicles and their types by analyzing images captured by the camera mounted on each car. The interface between the computer and the driver is implemented using a smartphone that is connected via Bluetooth to the Raspberry Pi computer on the car. We have conducted experiments to measure time needed to make a yielding decision in a variety of driving conditions and evaluated the accuracy of these decisions.
机译:日本政府旨在到2030年旨在介绍完全自治车辆。预计自治车辆将减少事故和交通堵塞的人数。然而,在同一条道路上运行的人机车辆和计算机控制的自治车辆之间不完全交换屈服于屈服的意图,可能会导致事故或交通拥堵。本文提出了一种系统,其使车辆能够通过车辆间通信能够准确地将其屈服于其它车辆的意图,而不管有关的车辆是否由人或计算机驱动。我们已经确定了七种屈服于车辆之间的模式,并开发了一种能够在每个模式中能够安全产生的系统。我们已经在覆盆子PI计算机中实施了所提出的系统,并将其安装在无线电控制车上,以便评估系统的操作。每辆车上的计算机通过分析安装在每辆车上的摄像机捕获的图像来识别道路宽度,附近的车辆及其类型。计算机和驱动器之间的接口使用智能手机实现,该智能手机通过蓝牙连接到汽车上的覆盆子PI计算机。我们已经进行了测量时间所需的实验,以便在各种驾驶条件下做出屈服决定,并评估这些决定的准确性。

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