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


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
Number of pages6
Publication statusPublished - 11 Jul 2021
Event32nd IEEE Intelligent Vehicles Symposium: IV21 - NAGOYA UNIVERSITY, Nagoya, Japan
Duration: 11 Jul 202115 Jul 2021


Conference32nd IEEE Intelligent Vehicles Symposium
Abbreviated titleIV21
Internet address


  • testbed
  • ADAS
  • ADAS simulation
  • Real time simulation

ASJC Scopus subject areas

  • Automotive Engineering

Fields of Expertise

  • Mobility & Production


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