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AMZ Driverless: The Full Autonomous Racing System

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arxiv 1905.05150 v1 pith:YBLVAFTE submitted 2019-05-13 cs.RO

Juraj Kabzan , Miguel de la Iglesia Valls , Victor Reijgwart , Hubertus Franciscus Cornelis Hendrikx , Claas Ehmke , Manish Prajapat , Andreas Bühler , Nikhil Gosala
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Mehak Gupta Ramya Sivanesan Ankit Dhall Eugenio Chisari Napat Karnchanachari Sonja Brits Manuel Dangel Inkyu Sa Renaud Dubé Abel Gawel Mark Pfeiffer Alexander Liniger John Lygeros Roland Siegwart
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classification cs.RO
keywords autonomousformulastudentsystemdriverlessgermanyracecarsolution
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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. In order 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 Zurich, finished 1st 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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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Autonomous Software Stack of the FRED-003C: The Development That Led to Full-Scale Autonomous Racing

    cs.RO 2025-04 conditional novelty 4.0 of 10

    The BME Formula Racing Team details the perception, SLAM, planning, and control modules of their Formula Student Driverless car, FRED-003C, which placed third in the 2023 Formula Student Germany electric-driverless category.

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