Towards a Review on Simulated ADAS/AD Testing

Yavuz Koroglu; Franz Wotawa

doi:10.1109/AST58925.2023.00015

Towards a Review on Simulated ADAS/AD Testing

Yavuz Koroglu^*, Franz Wotawa

^*Corresponding author for this work

Graz University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Vehicle and traffic simulation is a common practice for testing and evaluating advanced driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature mentions numerous simulators capable of simulating ADAS/AD implementations. In this study, we investigate previous surveys that cover multiple scenarios and initiate a systematic review targeting simulators for testing ADAS/AD. Our results show that the literature mentions, in total, 181 simulators capable of evaluating one or more ADAS/AD implementations. Furthermore, according to previous surveys and reviews, the most popular simulators are CARLA, Airsim, and SUMO. Finally, our results uncover that every five years, the number of novel simulators added to the literature grows at least quadratically, showing that further review is necessary to address the differences between these simulators and understand the simulator landscape from an ADAS/AD testing perspective.

Original language	English
Title of host publication	Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	112-122
Number of pages	11
ISBN (Electronic)	9798350324020
DOIs	https://doi.org/10.1109/AST58925.2023.00015
Publication status	Published - 2023
Externally published	Yes
Event	4th IEEE/ACM International Conference on Automation of Software Test, AST 2023 - Melbourne, Australia Duration: 15 May 2023 → 16 May 2023

Publication series

Name	Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023

Conference

Conference	4th IEEE/ACM International Conference on Automation of Software Test, AST 2023
Country/Territory	Australia
City	Melbourne
Period	15/05/23 → 16/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

adas
automated driving
simulation
systematic review
testing

Access to Document

10.1109/AST58925.2023.00015

Cite this

Koroglu, Y., & Wotawa, F. (2023). Towards a Review on Simulated ADAS/AD Testing. In Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023 (pp. 112-122). (Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AST58925.2023.00015

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title = "Towards a Review on Simulated ADAS/AD Testing",

abstract = "Vehicle and traffic simulation is a common practice for testing and evaluating advanced driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature mentions numerous simulators capable of simulating ADAS/AD implementations. In this study, we investigate previous surveys that cover multiple scenarios and initiate a systematic review targeting simulators for testing ADAS/AD. Our results show that the literature mentions, in total, 181 simulators capable of evaluating one or more ADAS/AD implementations. Furthermore, according to previous surveys and reviews, the most popular simulators are CARLA, Airsim, and SUMO. Finally, our results uncover that every five years, the number of novel simulators added to the literature grows at least quadratically, showing that further review is necessary to address the differences between these simulators and understand the simulator landscape from an ADAS/AD testing perspective.",

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author = "Yavuz Koroglu and Franz Wotawa",

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year = "2023",

doi = "10.1109/AST58925.2023.00015",

language = "English",

series = "Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Koroglu, Y & Wotawa, F 2023, Towards a Review on Simulated ADAS/AD Testing. in Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023. Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023, Institute of Electrical and Electronics Engineers Inc., pp. 112-122, 4th IEEE/ACM International Conference on Automation of Software Test, AST 2023, Melbourne, Australia, 15/05/23. https://doi.org/10.1109/AST58925.2023.00015

Towards a Review on Simulated ADAS/AD Testing. / Koroglu, Yavuz; Wotawa, Franz.
Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 112-122 (Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wotawa, Franz

PY - 2023

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N2 - Vehicle and traffic simulation is a common practice for testing and evaluating advanced driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature mentions numerous simulators capable of simulating ADAS/AD implementations. In this study, we investigate previous surveys that cover multiple scenarios and initiate a systematic review targeting simulators for testing ADAS/AD. Our results show that the literature mentions, in total, 181 simulators capable of evaluating one or more ADAS/AD implementations. Furthermore, according to previous surveys and reviews, the most popular simulators are CARLA, Airsim, and SUMO. Finally, our results uncover that every five years, the number of novel simulators added to the literature grows at least quadratically, showing that further review is necessary to address the differences between these simulators and understand the simulator landscape from an ADAS/AD testing perspective.

AB - Vehicle and traffic simulation is a common practice for testing and evaluating advanced driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature mentions numerous simulators capable of simulating ADAS/AD implementations. In this study, we investigate previous surveys that cover multiple scenarios and initiate a systematic review targeting simulators for testing ADAS/AD. Our results show that the literature mentions, in total, 181 simulators capable of evaluating one or more ADAS/AD implementations. Furthermore, according to previous surveys and reviews, the most popular simulators are CARLA, Airsim, and SUMO. Finally, our results uncover that every five years, the number of novel simulators added to the literature grows at least quadratically, showing that further review is necessary to address the differences between these simulators and understand the simulator landscape from an ADAS/AD testing perspective.

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KW - automated driving

KW - simulation

KW - systematic review

KW - testing

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M3 - Conference contribution

AN - SCOPUS:85165996642

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BT - Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Towards a Review on Simulated ADAS/AD Testing

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Keywords

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