research-article

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

Authors:

Martin Rudigier,

Marlies MischingerAuthors Info & Claims

2020 IEEE Intelligent Vehicles Symposium (IV)

Pages 1465 - 1471

https://doi.org/10.1109/IV47402.2020.9304811

Published: 19 October 2020 Publication History

Abstract

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.

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Cited By

Liu-Henke XJacobitz SGöllner MZhang J(2023)Concept of a holistic HiL test system for autonomous vehicles in cyber-physical Traffic SystemsProceedings of the 2023 6th International Conference on Robot Systems and Applications10.1145/3655532.3655588(202-207)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3655532.3655588
Tang SZhang ZZhang YZhou JGuo YLiu SGuo SLi YMa LXue YLiu Y(2023)A Survey on Automated Driving System Testing: Landscapes and TrendsACM Transactions on Software Engineering and Methodology10.1145/357964232:5(1-62)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1145/3579642
Peintner JFunk Drechsler MReway FSeifert GHuber WRiener A(2021)Mixed Reality Environment for Complex Scenario TestingProceedings of Mensch und Computer 202110.1145/3473856.3474034(605-608)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1145/3473856.3474034
Show More Cited By

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A Vehicle-in-the-Loop Methodology for Evaluating Automated Driving Functions in Virtual Traffic
1. Software and its engineering

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cover image Guide Proceedings

2020 IEEE Intelligent Vehicles Symposium (IV)

Oct 2020

1558 pages

Copyright © 2020.

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IEEE Press

Publication History

Published: 19 October 2020

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Cited By

Liu-Henke XJacobitz SGöllner MZhang J(2023)Concept of a holistic HiL test system for autonomous vehicles in cyber-physical Traffic SystemsProceedings of the 2023 6th International Conference on Robot Systems and Applications10.1145/3655532.3655588(202-207)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3655532.3655588
Tang SZhang ZZhang YZhou JGuo YLiu SGuo SLi YMa LXue YLiu Y(2023)A Survey on Automated Driving System Testing: Landscapes and TrendsACM Transactions on Software Engineering and Methodology10.1145/357964232:5(1-62)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1145/3579642
Peintner JFunk Drechsler MReway FSeifert GHuber WRiener A(2021)Mixed Reality Environment for Complex Scenario TestingProceedings of Mensch und Computer 202110.1145/3473856.3474034(605-608)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1145/3473856.3474034
Funk Drechsler MPeintner JSeifert GHuber WRiener A(2021)Mixed Reality Environment for Testing Automated Vehicle and Pedestrian Interaction13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3481878(229-232)Online publication date: 9-Sep-2021
https://dl.acm.org/doi/10.1145/3473682.3481878

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