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

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

2020IFAC-PapersOnLine21 citationsDOIOpen Access PDF

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.

Topics & Concepts

OdometerTrajectoryController (irrigation)Inertial measurement unitActuatorComputer scienceEngineeringAckermann functionControl systemInertial navigation systemControl engineeringReal-time computingControl (management)Global Positioning SystemSimulationVehicle dynamicsMobile robotInertial frame of referencePath (computing)Control unitKey (lock)LeverScheme (mathematics)RobotAutopilotTeleroboticsRemotely operated underwater vehicleControl theory (sociology)Control and Dynamics of Mobile RobotsModular Robots and Swarm IntelligenceModeling and Simulation Systems
Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education | Litcius