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

Institute of Automotive Engineering (3310)

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	1132-1137
Number of pages	6
DOIs	https://doi.org/10.1109/IV48863.2021.9575426
Publication status	Published - 11 Jul 2021
Event	32nd IEEE Intelligent Vehicles Symposium: IV21 - NAGOYA UNIVERSITY, Nagoya, Japan Duration: 11 Jul 2021 → 15 Jul 2021 https://2021.ieee-iv.org/

Conference

Conference	32nd IEEE Intelligent Vehicles Symposium
Abbreviated title	IV21
Country/Territory	Japan
City	Nagoya
Period	11/07/21 → 15/07/21
Internet address	https://2021.ieee-iv.org/

Keywords

testbed
ADAS
ADAS simulation
Real time simulation

ASJC Scopus subject areas

Automotive Engineering

Fields of Expertise

Mobility & Production

Access to Document

10.1109/IV48863.2021.9575426Licence: CC BY 4.0

Cite this

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

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.",

keywords = "Automated Driving, test bench, environment perception, testbed, ADAS, ADAS simulation, Real time simulation",

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

year = "2021",

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doi = "10.1109/IV48863.2021.9575426",

language = "English",

pages = "1132--1137",

note = "32nd IEEE Intelligent Vehicles Symposium : IV21, IV21 ; Conference date: 11-07-2021 Through 15-07-2021",

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T1 - A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed

AU - Li, Hexuan

AU - Makkapati, Vamsi Prakash

AU - Nalic, Demin

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.

AB - 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.

KW - Automated Driving

KW - test bench

KW - environment perception

KW - testbed

KW - ADAS

KW - ADAS simulation

KW - Real time simulation

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Access to Document

Other files and links

Fingerprint

21_FFG_InVADE - Integrated Vehicle-in-the-Loop for Automated Driving and E-mobility

DVS: Vehicle Dynamics

Systematische Generierung von Szenarien für die Absicherung von autonomen Fahrfunktionen

Cite this

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Access to Document

Other files and links

Fingerprint

Projects

21_FFG_InVADE - Integrated Vehicle-in-the-Loop for Automated Driving and E-mobility

DVS: Vehicle Dynamics

Activities

Systematische Generierung von Szenarien für die Absicherung von autonomen Fahrfunktionen

Cite this