Novel Hybrid-Testing Paradigms for Automated Vehicle and ADAS Function Development

Selim Solmaz*, Franz Holzinger, Marlies Mischinger, Martin Rudigier, Jakob Reckenzaun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Development cycles in Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) technologies pose various challenges even at the development stages, since they require extensive calibration, testing, and validation before they can be commissioned. Specifically, testing and verifying the expected vehicle behavior for ADAS/AD functions in various traffic scenarios is a major challenge. Unfortunately, the extent of real-life tests is often quite limited due to associated high costs. Therefore, it is a common practice to employ simulations for this. However, simulation-only verification also has limitations due to un-modeled dynamics. It is therefore in the interest of the developers and OEMs alike to ensure that ADAS/AD systems conform to reliability, compliance, and performance requirements in a cost-effective and efficient manner. Motivated by these, we introduce in this chapter two alternative testing/verification methods combining real-world testing with simulation for ADAS/AD development. The first concept involves a novel steerable chassis dynamometer and real-time camera stimulation in a co-simulation framework. The second involves a generalization of the co-simulation framework with a vehicle-in-the-loop concept and is named “hybrid testing” that was developed in the scope of the EU-H2020 funded project INFRAMIX, where a real vehicle can be combined with a virtual traffic scenario.

Original languageEnglish
Title of host publicationEAI/Springer Innovations in Communication and Computing
PublisherSpringer Science and Business Media Deutschland GmbH
Pages193-228
Number of pages36
DOIs
Publication statusPublished - 29 Mar 2021

Publication series

NameEAI/Springer Innovations in Communication and Computing
ISSN (Print)2522-8595
ISSN (Electronic)2522-8609

Keywords

  • ADAS functions
  • Autonomous vehicles
  • Co-simulation
  • Consistent development
  • Hybrid testing
  • Test bench

ASJC Scopus subject areas

  • Information Systems
  • Health Informatics
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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