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

Research output: Contribution to conferencePaperpeer-review

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.

Original languageEnglish
Pages1132-1137
Number of pages6
DOIs
Publication statusPublished - 11 Jul 2021
Event32nd IEEE Intelligent Vehicles Symposium - NAGOYA UNIVERSITY, NAGOYA, Japan
Duration: 11 Jul 202115 Jul 2021
https://2021.ieee-iv.org/

Conference

Conference32nd IEEE Intelligent Vehicles Symposium
Abbreviated titleIV21
CountryJapan
CityNAGOYA
Period11/07/2115/07/21
Internet address

Keywords

  • testbed
  • ADAS
  • ADAS simulation
  • Real time simulation

ASJC Scopus subject areas

  • Automotive Engineering

Fields of Expertise

  • Mobility & Production

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