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A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study

Topics: Accident Analysis; Analytics and Optimization; Autonomous Vehicles and Automated Driving Control; Intelligent Infrastructure and Guidance Systems; Off the Road Vehicles; Real-time Incident Detection; Systems Modeling and Simulation; V2V, V2I, V2X; Vehicle Information Systems

Authors: Manuel Mar and Eric Dietz

Affiliation: Department of Computer Information Technology, Purdue University,401 Gran St, West Lafayette, U.S.A.

Keyword(s): Autonomous Vehicles, Racing, Motorsports, High-Speed, Sensors, Autonomy Hardware, Vehicle Architecture, High-Performance, ADAS, Electric Vehicles.

Abstract: This paper explores into the challenges and advancements encountered in the development and operation of full-sized autonomous cars built for motorsports competitions. Concentrating on a qualitative examination of the sensor configuration, structure, and real-time assessment of vehicle platforms in the Indy Autonomous Challenge and Roborace. The scrutiny is centered on recent years’ research and the vehicles’ performance in demanding conditions, systematically highlighted and summarized in this paper. The analysis furnishes a more concise and condensed comprehension of the prevailing trends in such competitions, offering insights into the future of autonomy in the coming years.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mar, M. and Dietz, E. (2024). A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study. In Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-703-0; ISSN 2184-495X, SciTePress, pages 311-318. DOI: 10.5220/0012634800003702

@conference{vehits24,
author={Manuel Mar and Eric Dietz},
title={A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study},
booktitle={Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2024},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012634800003702},
isbn={978-989-758-703-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - A Qualitative Review of Full Sized Autonomous Racing Vehicle Sensors: A Case Study
SN - 978-989-758-703-0
IS - 2184-495X
AU - Mar, M.
AU - Dietz, E.
PY - 2024
SP - 311
EP - 318
DO - 10.5220/0012634800003702
PB - SciTePress