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Titel:

Smooth Trajectory Planning at the Handling Limits for Oval Racing

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Ögretmen, L.; Rowold, M.; Ochsenius, M.; Lohmann, B.
Abstract:
In motion planning for autonomous racing, the challenge arises in planning smooth trajectories close to the handling limits of the vehicle with a sufficient planning horizon. Graph-based trajectory planning methods can find the global discrete-optimal solution, but they suffer from the curse of dimensionality. Therefore, to achieve low computation times despite a long planning horizon, coarse discretization and simple edges that are efficient to generate must be used. However, the resulting roug...     »
Stichworte:
motion planning; autonomous vehicles; racing; sampling; dynamic obstacles
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Actuators
Jahr:
2022
Jahr / Monat:
2022-11
Quartal:
4. Quartal
Monat:
Nov
Heft / Issue:
Vol. 11, Issue 11, Article number 318
Nachgewiesen in:
Scopus; Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.3390/act11110318
WWW:
https://doi.org/10.3390/act11110318
Verlag / Institution:
MDPI
E-ISSN:
20760825
Hinweise:
Special Issue Intelligent Control and Robotic System in Path Planning
Status:
Erstveröffentlichung
Eingereicht (bei Zeitschrift):
26.09.2022
Angenommen (von Zeitschrift):
28.10.2022
Publikationsdatum:
03.11.2022
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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