Search-Based Motion Planning for Performance Autonomous Driving

Zlatan Ajanovic*, Enrico Regolin, Georg Stettinger, Martin Horn, Antonella Ferrara

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Driving on the limits of vehicle dynamics requires predictive planning of future vehicle states. In this work, a search-based motion planning is used to generate suitable reference trajectories of dynamic vehicle states with the goal to achieve the minimum lap time on slippery roads. The search-based approach enables to explicitly consider a nonlinear vehicle dynamics model as well as constraints on states and inputs so that even challenging scenarios can be achieved in a safe and optimal way. The algorithm performance is evaluated in simulated driving on a track with segments of different curvatures. Our code is available at https://git.io/JenvB.

Originalspracheenglisch
TitelAdvances in Dynamics of Vehicles on Roads and Tracks - Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019
Redakteure/-innenMatthijs Klomp, Fredrik Bruzelius, Jens Nielsen, Angela Hillemyr
Herausgeber (Verlag)Springer
Seiten1144-1154
Seitenumfang11
ISBN (Print)9783030380762
DOIs
PublikationsstatusVeröffentlicht - 1 Jan. 2020
Veranstaltung26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019 - Gothenburg, Schweden
Dauer: 12 Aug. 201916 Aug. 2019

Publikationsreihe

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (elektronisch)2195-4364

Konferenz

Konferenz26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019
Land/GebietSchweden
OrtGothenburg
Zeitraum12/08/1916/08/19

ASJC Scopus subject areas

  • Fahrzeugbau
  • Luft- und Raumfahrttechnik
  • Maschinenbau
  • Fließ- und Transferprozesse von Flüssigkeiten

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