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Inter-Vehicle Communication Protocol Design for a Yielding Decision at an Unsignalized Intersection and Evaluation of the Protocol Using Radio Control Cars Equipped with Raspberry Pi

机译:车辆间通信协议设计,用于无信号交叉口的屈服决策,并使用配备Raspberry Pi的无线电遥控汽车对协议进行评估

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The Japanese government aims to introduce self-driven vehicles by 2020 to reduce the number of accidents and traffic jams. Various methods have been proposed for traffic control at accident-prone intersections to achieve safe and efficient self-driving. Most of them require roadside units to identify and control vehicles. However, it is difficult to install roadside units at all intersections. This paper proposes an inter-vehicle communication protocol that enables vehicles to transmit their vehicle information and moving direction information to nearby vehicles. Vehicles identify nearby vehicles using images captured by vehicle-mounted cameras. These arrangements make it possible for vehicles to exchange yielding intention at an unsignalized intersection without using a roadside unit. To evaluate the operations of the proposed protocol, we implemented the protocol in Raspberry Pi computers, which were connected to cameras and mounted on radio control cars and conducted experiments. The experiments simulated an unsignalized intersection where both self-driven and human-driven vehicles were present. The vehicle that had sent a yielding request identified the yielding vehicle by recognizing the colour of each radio control car, which was part of the vehicle information, from the image captured by its camera. We measured a series of time needed to complete the yielding sequence and evaluated the validity of yielding decisions.
机译:日本政府的目标是到2020年引入自动驾驶汽车,以减少事故和交通拥堵的发生。已经提出了多种方法用于事故多发路口的交通控制,以实现安全和有效的自动驾驶。他们中的大多数需要路边单位来识别和控制车辆。但是,很难在所有路口安装路边单元。本文提出了一种车辆间通信协议,该协议使车辆能够将其车辆信息和行进方向信息传输到附近的车辆。车辆使用车载摄像头捕获的图像识别附近的车辆。这些布置使得车辆可以在不使用路边单元的情况下在无信号交叉路口交换屈服意图。为了评估所提议协议的操作,我们在Raspberry Pi计算机中实现了该协议,该计算机连接到摄像机并安装在无线电遥控车上并进行了实验。实验模拟了无信号交叉口,其中同时存在自动驾驶和人类驾驶的车辆。发送了屈服请求的车辆通过从其摄像机捕获的图像中识别出作为车辆信息一部分的每个无线电遥控车的颜色,从而识别了该屈服车辆。我们测量了完成屈服序列所需的一系列时间,并评估了屈服决策的有效性。

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