TU Darmstadt / ULB / TUbiblio

Ideal Reference Point in Planning and Control for Automated Car-Like Vehicles

Popp, Christoph ; Ziegler, Christoph ; Sippel, Marco ; Winner, Hermann (2022)
Ideal Reference Point in Planning and Control for Automated Car-Like Vehicles.
In: IEEE Transactions on Intelligent Vehicles, 2022
doi: 10.26083/tuprints-00021625
Artikel, Zweitveröffentlichung, Postprint

WarnungEs ist eine neuere Version dieses Eintrags verfügbar.

Kurzbeschreibung (Abstract)

The choice of the reference point in automated vehicles impacts the vehicle's driving behavior. However, this influence is often not considered for planning and control tasks. To find out where the reference point should be located best, we first consider its position to be ideal if the needed lane width on the left and right side of the planned path is equal when cornering with constant curvature. For constantly curved paths we derive the ideal reference point depending on the curvature, using the kinematics of a slip angle free bicycle model. For non-stationary cornering, we analyze different maneuvers and finally, we select the reference point on the front axle. Utilizing this knowledge, the extent of a forward moving vehicle can be reduced to a point model, which does not require the orientation of the vehicle. This enables a simple and still promising approach for collision checking, where the vehicle's needed space is approximated by only one circle around the reference point. Finally, we analyze the influence of the reference point on a lateral feed-forward controller. Thus, we confirm the previously chosen reference point on the front axle for the equally distributed needed lane width and therefore recommend its use.

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Popp, Christoph ; Ziegler, Christoph ; Sippel, Marco ; Winner, Hermann
Art des Eintrags: Zweitveröffentlichung
Titel: Ideal Reference Point in Planning and Control for Automated Car-Like Vehicles
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2022
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Transactions on Intelligent Vehicles
Kollation: 10 Seiten
DOI: 10.26083/tuprints-00021625
URL / URN: https://tuprints.ulb.tu-darmstadt.de/21625
Zugehörige Links:
Herkunft: Zweitveröffentlichung
Kurzbeschreibung (Abstract):

The choice of the reference point in automated vehicles impacts the vehicle's driving behavior. However, this influence is often not considered for planning and control tasks. To find out where the reference point should be located best, we first consider its position to be ideal if the needed lane width on the left and right side of the planned path is equal when cornering with constant curvature. For constantly curved paths we derive the ideal reference point depending on the curvature, using the kinematics of a slip angle free bicycle model. For non-stationary cornering, we analyze different maneuvers and finally, we select the reference point on the front axle. Utilizing this knowledge, the extent of a forward moving vehicle can be reduced to a point model, which does not require the orientation of the vehicle. This enables a simple and still promising approach for collision checking, where the vehicle's needed space is approximated by only one circle around the reference point. Finally, we analyze the influence of the reference point on a lateral feed-forward controller. Thus, we confirm the previously chosen reference point on the front axle for the equally distributed needed lane width and therefore recommend its use.

Freie Schlagworte: Reference point, automated vehicles, bicycle model, collision check
Status: Postprint
URN: urn:nbn:de:tuda-tuprints-216258
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet Fahrzeugtechnik (FZD)
18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme)
Hinterlegungsdatum: 08 Jul 2022 12:08
Letzte Änderung: 11 Jul 2022 06:28
PPN:
Export:
Suche nach Titel in: TUfind oder in Google

Verfügbare Versionen dieses Eintrags

Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen