The Autonomous Racing Software Stack of the KIT19d
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2020.
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Citing papers per year: 2022: 2; 2023: 2.
4 papers.
- 2022Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racingcited by 56
- 2022Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limitscited by 10
- 2023er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speedscited by 2
- 2023Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racingcited by 1
- 2023Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing11 Dec 2023
- 2023er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds27 Oct 2023
- 2022Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing14 Feb 2022
- 2022Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits8 Feb 2022