A Vehicle-in-the-Loop Methodology for Evaluating Automated Driving Functions in Virtual Traffic

Selim Solmaz*, Martin Rudigier, Marlies Mischinger

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


This paper introduces a novel vehicle-in-the-loop testing methodology called 'Hybrid Testing', which enables the evaluation of a real vehicle in a virtual traffic scenario in an enclosed proving ground with simulated traffic components and sensor signals. Among the other benefits, the introduced methodology is particularly suited to test and verify ADAS functions in virtual scenarios, which would otherwise be very difficult to create in real world. Development of ADAS functions require extensive testing and validation prior to deployment and generally, exhaustive real-life scenario evaluation of such systems is not feasible, let alone possible. With Hybrid Testing we can combine the benefits of simulation and real-life testing. We show how this methodology, as was developed in the EU-funded project INFRAMIX, can be used to evaluate ADAS functions on an example of a trajectory planning algorithm to demonstrate its working principles and benefits.

Original languageEnglish
Number of pages7
Publication statusPublished - 1 Jan 2020
Event31st IEEE Intelligent Vehicles Symposium, IV 2020 - Virtual, Las Vegas, United States
Duration: 19 Oct 202013 Nov 2020


Conference31st IEEE Intelligent Vehicles Symposium, IV 2020
Country/TerritoryUnited States
CityVirtual, Las Vegas


  • ADAS functions
  • Automated driving
  • mixed reality
  • SUMO
  • trajectory planner
  • virtual testing

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation


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