Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles

Marc Kaufeld, Rainer Trauth, Johannes Betz

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Current validation methods often rely on recorded data and basic functional checks, which may not be sufficient to encompass the scenarios an autonomous vehicle might encounter. In addition, there is a growing need for complex scenarios with changing vehicle interactions for comprehensive validation. This work introduces a novel synchronous multi-agent simulation framework for autonomous vehicles in interactive scenarios. Our approach creates an interactive scenario and incorporates publicly available edge-case scenarios wherein simulated vehicles are replaced by agents navigating to predefined destinations. We provide a platform that enables the integration of different autonomous driving planning methodologies and includes a set of evaluation metrics to assess autonomous driving behavior. Our study explores different planning setups and adjusts simulation complexity to test the framework's adaptability and performance. Results highlight the critical role of simulating vehicle interactions to enhance autonomous driving systems. Our setup offers unique insights for developing advanced algorithms for complex driving tasks to accelerate future investigations and developments in this field. The multi-agent simulation framework is available as open-source software: https://github.com/TUM-AVS/Frenetix-Motion-Planner

OriginalspracheEnglisch
Titel35th IEEE Intelligent Vehicles Symposium, IV 2024
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten803-810
Seitenumfang8
ISBN (elektronisch)9798350348811
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung35th IEEE Intelligent Vehicles Symposium, IV 2024 - Jeju Island, Südkorea
Dauer: 2 Juni 20245 Juni 2024

Publikationsreihe

NameIEEE Intelligent Vehicles Symposium, Proceedings
ISSN (Print)1931-0587
ISSN (elektronisch)2642-7214

Konferenz

Konferenz35th IEEE Intelligent Vehicles Symposium, IV 2024
Land/GebietSüdkorea
OrtJeju Island
Zeitraum2/06/245/06/24

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