arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.08364cs.ROcs.MA
收藏

用于研究和教育实验的网络化和自主模型规模车辆

Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education

RWTH Aachen University(亚琛工业大学)

Patrick Scheffe, Janis Maczijewski, Maximilian Kloock, Alexandru Kampmann, Andreas Derks, Stefan Kowalewski, Bassam Alrifaee

摘要:

本文介绍了$\mathrmμ$汽车,一个1:18模型比例的车辆与阿克曼转向几何开发的网络和自动驾驶的研究和教育实验。该车辆是开源的,成本适中,高度灵活,允许许多应用程序。它配备了惯性测量单元和里程表,并通过WLAN从室内定位系统获得其姿态。用于控制车辆的两种支持的操作模式是:(1)在外部硬件上计算控制输入,通过WLAN传输并将接收到的输入应用于致动器;(2)通过WLAN传输参考轨迹,然后由车载Raspberry Pi Zero W上运行的控制器执行。该设计允许同时使用相同的车辆,以便与大量的网络代理进行实验。

英文摘要:

This paper presents the $\mathrmμ$Car, a 1:18 model-scale vehicle with Ackermann steering geometry developed for experiments in networked and autonomous driving in research and education. The vehicle is open source, moderately costed and highly flexible, which allows for many applications. It is equipped with an inertial measurement unit and an odometer and obtains its pose via WLAN from an indoor positioning system. The two supported operating modes for controlling the vehicle are (1) computing control inputs on external hardware, transmitting them via WLAN and applying received inputs to the actuators and (2) transmitting a reference trajectory via WLAN, which is then followed by a controller running on the onboard Raspberry Pi Zero W. The design allows identical vehicles to be used at the same time in order to conduct experiments with a large amount of networked agents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑