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

doi:10.1109/IV48863.2021.9575426

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

Institut für Fahrzeugtechnik (3310)

Publikation: Konferenzbeitrag › Paper › Begutachtung

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.

Originalsprache	englisch
Seiten	1132-1137
Seitenumfang	6
DOIs	https://doi.org/10.1109/IV48863.2021.9575426
Publikationsstatus	Veröffentlicht - 11 Juli 2021
Veranstaltung	32nd IEEE Intelligent Vehicles Symposium: IV21 - NAGOYA UNIVERSITY, Nagoya, Japan Dauer: 11 Juli 2021 → 15 Juli 2021 https://2021.ieee-iv.org/

Konferenz

Konferenz	32nd IEEE Intelligent Vehicles Symposium
Kurztitel	IV21
Land/Gebiet	Japan
Ort	Nagoya
Zeitraum	11/07/21 → 15/07/21
Internetadresse	https://2021.ieee-iv.org/

Schlagwörter

Automated Driving
test bench
environment perception

ASJC Scopus subject areas

Fahrzeugbau

Fields of Expertise

Mobility & Production

Zugriff auf Dokument

10.1109/IV48863.2021.9575426Lizenz: CC BY 4.0

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85118901057&partnerID=8YFLogxK

21_FFG_InVADE - Integriertes Vehicle-in-the-Loop für automatisiertes Fahren und E-Mobilität
Fellendorf, M., Tomasch, E. & Eichberger, A.
1/10/21 → 30/09/24
Projekt: Forschungsprojekt
DVS: Vehicle Dynamics
Koglbauer, I. V., Lex, C., Shao, L., Semmer, M., Rogic, B., Peer, M., Hackl, A., Sternat, A. S., Schabauer, M., Samiee, S., Eichberger, A., Ager, M., Malić, D., Wohlfahrter, H., Scherndl, C., Magosi, Z. F., Orucevic, F., Puščul, D., Arefnezhad, S., Karoshi, P., Schöttel, C. E., Pandurevic, A., Harcevic, A., Wellershaus, C., Li, H., Mihalj, T., Kanuric, T., Gu, Z., Wallner, D., De Cristofaro, F., Soboleva, K., Nalic, D., Bernsteiner, S., Kraus, H., Zhao, Y., Bodner, J., Bui, D. T., Hirschberg, W., Plöckinger, M. & Khoshnood Sarabi, N.
1/01/11 → …
Projekt: Arbeitsgebiet

Systematische Generierung von Szenarien für die Absicherung von autonomen Fahrfunktionen
Demin Nalic (Redner/in)
17 Juli 2019 → 18 Juli 2019
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to public

Dieses zitieren

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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.",

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author = "Hexuan Li and Makkapati, {Vamsi Prakash} and Demin Nalic and Arno Eichberger and Xuan Fang",

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AU - Li, Hexuan

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AU - Eichberger, Arno

AU - Fang, Xuan

PY - 2021/7/11

Y1 - 2021/7/11

N2 - 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.

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KW - test bench

KW - environment perception

KW - testbed

KW - ADAS

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T2 - 32nd IEEE Intelligent Vehicles Symposium

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ER -

A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed

Abstract

Konferenz

Schlagwörter

ASJC Scopus subject areas

Fields of Expertise

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

21_FFG_InVADE - Integriertes Vehicle-in-the-Loop für automatisiertes Fahren und E-Mobilität

DVS: Vehicle Dynamics

Aktivitäten

Systematische Generierung von Szenarien für die Absicherung von autonomen Fahrfunktionen

Dieses zitieren