Journal of Field Robotics · 2020 · 11 citations · 48 references
EngineeringAutonomous SystemsRobotics EngineeringAutonomous VehiclesRobot ControlRoboticsAutonomous NavigationCollision AvoidanceRobot NavigationVehicle ControlVehicle Control SystemsVehicle PerceptionAutonomous Vehicle ControlAutonomous Vehicle NavigationControl System ArchitecturePerception SystemsResilient System ArchitectureRobotic ApplicationsVehicle GuidanceVehicle Path Following
Abstract This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and extensibility. To autonomously race around a previously unknown track, the proposed solution combines state of the art techniques from different fields of robotics. Specifically, perception, estimation, and control are incorporated into one high‐performance autonomous racecar. This complex robotic system, developed by AMZ Driverless and ETH Zürich, finished first overall at each competition we attended: Formula Student Germany 2017, Formula Student Italy 2018 and Formula Student Germany 2018. We discuss the findings and learnings from these competitions and present an experimental evaluation of each module of our solution.
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