The Autonomous Racing Software Stack of the KIT19d
This work addresses the challenge of building autonomous racing systems for student competitions, which is an incremental application of existing methods to a specific domain.
The paper presents the software stack for an autonomous race car developed for the 2019 Formula Student Driverless competition, covering modules like perception and control, and includes runtime measurements and competition results to demonstrate performance.
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.