A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed

Hexuan Li, Vamsi Prakash Makkapati, Demin Nalic, Arno Eichberger, Xuan Fang

Publikation: KonferenzbeitragPaperBegutachtung

Abstract

Considering the recent advances in autonomous driving technology, conventional on-road based testing tools cannot meet the validation requirements with respect to time and cost-efficiency. Scenario-based virtual validation methods offer an efficient virtual testing approach that supports the development and contribute to decreased on-road-testing. X- in-the loop testing methods contribute to stepwise increase in test/validation quality by introducing hardware/software elements starting from the component up to full vehicle level and have been increasingly integrated into the process of design and validation of intelligent vehicle systems. In this paper, a novel framework that includes a highly dynamic vehicle-in-the-loop test bed, a traffic flow simulation method is introduced to precisely assess the impact of specific variables on the performance of an intelligent system with all vehicle components included.

Originalspracheenglisch
Seiten1132-1137
Seitenumfang6
DOIs
PublikationsstatusVeröffentlicht - 11 Jul 2021
Veranstaltung32nd IEEE Intelligent Vehicles Symposium: IV21 - NAGOYA UNIVERSITY, Nagoya, Japan
Dauer: 11 Jul 202115 Jul 2021
https://2021.ieee-iv.org/

Konferenz

Konferenz32nd IEEE Intelligent Vehicles Symposium
KurztitelIV21
Land/GebietJapan
OrtNagoya
Zeitraum11/07/2115/07/21
Internetadresse

Schlagwörter

  • Automated Driving
  • test bench
  • environment perception

ASJC Scopus subject areas

  • Fahrzeugbau

Fields of Expertise

  • Mobility & Production

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