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Titel:

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Betz, J.; Betz, T.; Fent, F.; Geisslinger, M.; Heilmeier, A.; Hermansdorfer, L.; Herrmann, T.; Huch, S.; Karle, P.; Lienkamp, M.; Lohmann, B.; Nobis, F.; Ögretmen, L.; Rowold, M.; Sauerbeck, F.; Stahl, T.; Trauth, R.; Werner, F.; Wischnewski, A.
Abstract:
For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such as Roborace, F1Tenth, or the Indy Autonomous Challenge (IAC) are envisioned as playing a similar role within the autonomous vehicle sector, serving as a proving ground for new technology at the limits of the autonomous systems capabilities. This paper outlines the software stack and approach of the TUM Autonomous Mo...     »
Stichworte:
artificial intelligence; autonomous robot; dynamic obstacle avoidance; unmanned ground vehicle; vehicle robot
Zeitschriftentitel:
Journal of Field Robotics
Jahr:
2023
Jahr / Monat:
2023-01
Quartal:
1. Quartal
Monat:
Jan
Seitenangaben Beitrag:
pp. 1-27
Nachgewiesen in:
; Scopus; Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1002/rob.22153
WWW:
https://doi.org/10.1002/rob.22153
Verlag / Institution:
John Wiley and Sons Inc.
Print-ISSN:
15564959
Eingereicht (bei Zeitschrift):
31.05.2022
Angenommen (von Zeitschrift):
19.12.2022
Publikationsdatum:
12.01.2023
Semester:
WS 22-23
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
Eingabe:
25.01.2023
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