Development of a generic network enabled autonomous vehicle system

M. Coombes, William Eaton, O. McAree, Wen‐Hua Chen
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引用次数: 11

Abstract

This paper describes the development of a system for autonomous vehicle testing, utilising conventional network infrastructure for communication and control; allowing simultaneous control of multiple vehicles of differing vehicle types. A basic level of autonomy is achieved through the use of an Arduino based commercial autopilot (ArduPilot), which also allows for remote vehicle control via MAVLink protocol commands given through serial communication. Traditionally messages are sent using point-to-point wireless serial modems. As these are restricted in terms of bandwidth and flexibility, an improved set-up is suggested, where an embedded computer system is attached to each vehicle. A custom written Node.js program (MAVNode) is then used to encode and decode MAVLink messages onboard allowing communication over a Local Area Network via Wi-Fi, A selection of hardware configurations are discussed, including the use of conventional Wi-Fi and long range Ubiquiti airMAX wireless routers. Both software and hardware in the loop testing is discussed, in addition to the ability to to perform control from Matlab/Simulink. With all the infrastructure in place, algorithms can be rapidly prototyped. As an example use of the system, a quad-rotor visually tracks a robot while using a remote Matlab installation for image processing and control.
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开发通用网络自动驾驶汽车系统
本文描述了自动驾驶汽车测试系统的开发,利用传统的网络基础设施进行通信和控制;允许同时控制不同车型的多辆车。通过使用基于Arduino的商业自动驾驶仪(ArduPilot)实现了基本的自治水平,该自动驾驶仪还允许通过串行通信给出的MAVLink协议命令远程控制车辆。传统上,信息是使用点对点无线串行调制解调器发送的。由于这些在带宽和灵活性方面受到限制,建议改进设置,在每辆车上附加一个嵌入式计算机系统。然后使用自定义编写的Node.js程序(MAVNode)对机载MAVLink消息进行编码和解码,允许通过Wi-Fi在局域网上进行通信。讨论了硬件配置的选择,包括使用传统Wi-Fi和远程Ubiquiti airMAX无线路由器。讨论了软件和硬件在环测试,以及从Matlab/Simulink执行控制的能力。有了所有的基础设施,算法可以快速原型化。作为该系统的一个使用示例,四旋翼视觉跟踪机器人,同时使用远程Matlab安装进行图像处理和控制。
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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