The Autonomous Racing Software Stack of the KIT19d
Sherif Nekkah
Josua Janus
Mario Boxheimer
Lars Ohnemus
Stefan Hirsch
Benjamin Schmidt
Yuchen Liu
David Borbély
Florian Keck
Katharina Bachmann
Lukasz Bleszynski

Abstract
Formula Student Driverless challenges engineering students to develop autonomous single-seater race cars in a quest to bring about more graduates who are well-prepared to solve the real world problems associated with autonomous driving. In this paper, we present the software stack of KA-RaceIng's entry to the 2019 competitions. We cover the essential modules of the system, including perception, localization, mapping, motion planning, and control. Furthermore, development methods are outlined and an overview of the system architecture is given. We conclude by presenting selected runtime measurements, data logs, and competition results to provide an insight into the performance of the final prototype.
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