Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education⁎This research is supported by the Deutsche Forschungsgemein-schaft (German Research Foundation) within the Priority Program SPP 1835 "Cooperative Interacting Automobiles" (grant number: KO 1430/17-1) and the Post Graduate Program GRK 1856 "Integrated Energy Supply Modules for Roadbound E-Mobility". Issue 2 (2020)

• Record Type: Journal Article
• Authors: Scheffe, Patrick; Maczijewski, Janis; Kloock, Maximilian; Kampmann, Alexandru; Derks, Andreas; Kowalewski, Stefan; Alrifaee, Bassam
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 17332
• Page End: 17337
• Publication Date: 2020
• Subjects: Control education using laboratory equipment -- Connected Vehicles -- Autonomous Vehicles -- Multi-vehicle systems -- Embedded computer control systems -- applications -- Embedded computer architectures -- Remote -- distributed control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.1821
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This 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.