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Main Authors: Ali, Mahmoud, Jardali, Hassan, Yu, Youwei, Pushp, Durgakant, Liu, Lantao
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.19636
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author Ali, Mahmoud
Jardali, Hassan
Yu, Youwei
Pushp, Durgakant
Liu, Lantao
author_facet Ali, Mahmoud
Jardali, Hassan
Yu, Youwei
Pushp, Durgakant
Liu, Lantao
contents Autonomous racing has seen significant advancements, driven by competitions such as the Indy Autonomous Challenge (IAC) and the Abu Dhabi Autonomous Racing League (A2RL). However, developing an autonomous racing stack for a full-scale car is often constrained by limited access to dedicated test tracks, restricting opportunities for real-world validation. While previous work typically requires extended development cycles and significant track time, this paper introduces a minimalistic autonomous racing stack for high-speed time-trial racing that emphasizes rapid deployment and efficient system integration with minimal on-track testing. The proposed stack was validated on real speedways, achieving a top speed of 206 km/h within just 11 hours' practice run on the track with 325 km in total. Additionally, we present the system performance analysis, including tracking accuracy, vehicle dynamics, and safety considerations, offering insights for teams seeking to rapidly develop and deploy an autonomous racing stack with limited track access.
format Preprint
id arxiv_https___arxiv_org_abs_2509_19636
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Minimalistic Autonomous Stack for High-Speed Time-Trial Racing
Ali, Mahmoud
Jardali, Hassan
Yu, Youwei
Pushp, Durgakant
Liu, Lantao
Robotics
Systems and Control
Autonomous racing has seen significant advancements, driven by competitions such as the Indy Autonomous Challenge (IAC) and the Abu Dhabi Autonomous Racing League (A2RL). However, developing an autonomous racing stack for a full-scale car is often constrained by limited access to dedicated test tracks, restricting opportunities for real-world validation. While previous work typically requires extended development cycles and significant track time, this paper introduces a minimalistic autonomous racing stack for high-speed time-trial racing that emphasizes rapid deployment and efficient system integration with minimal on-track testing. The proposed stack was validated on real speedways, achieving a top speed of 206 km/h within just 11 hours' practice run on the track with 325 km in total. Additionally, we present the system performance analysis, including tracking accuracy, vehicle dynamics, and safety considerations, offering insights for teams seeking to rapidly develop and deploy an autonomous racing stack with limited track access.
title Minimalistic Autonomous Stack for High-Speed Time-Trial Racing
topic Robotics
Systems and Control
url https://arxiv.org/abs/2509.19636