Case Study

Developing an autonomous racing vehicle for Formula Student Driverless

Developing an autonomous racing vehicle for Formula Student Driverless

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BUSINESS PAGE 56 Precise, reproducible, adaptive – these are the prominent characteristics of virtual drivers. The Formula Student team of Augsburg University of Applied Sciences is focusing its efforts on precisely this to achieve the best possible lap times. It uses a MicroAutoBox and RTMaps, a multisensor development environment, for developing the autonomous driving control. Developing an autonomous racing vehicle for Formula Student Driverless tive industry. Since 2017, teams have been competing in Formula Student Driverless with autonomous racing cars. The aim is to race a vehicle around a track marked by traffic cones - as fast as possible and fully autonomously. Team Starkstrom of the Augsburg University of Applied Sciences is one of the participants. The team intro

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