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  • 标题:Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education ⁎
  • 本地全文:下载
  • 作者:Patrick Scheffe ; Janis Maczijewski ; Maximilian Kloock
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:17332-17337
  • DOI:10.1016/j.ifacol.2020.12.1821
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents the µCar, 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.
  • 关键词:KeywordsControl education using laboratory equipmentConnected VehiclesAutonomous VehiclesMulti-vehicle systemsEmbedded computer control systemsapplicationsEmbedded computer architecturesRemotedistributed control
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