Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Jesper Winsten; Valentin Soloviev; Jarkko Peltomäki; Ivan Porres

doi:10.1145/3643659.3648603

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Jesper Winsten, Valentin Soloviev, Jarkko Peltomäki, Ivan Porres

Information Technology

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

Abstract

WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.

Original language	English
Title of host publication	2024 ACM/IEEE International Workshop on Search-Based and Fuzz Testing (SBFT ’24)
Publisher	ACM
Number of pages	2
DOIs	https://doi.org/10.1145/3643659.3648603
Publication status	Accepted/In press - 2024
MoE publication type	A4 Article in a conference publication
Event	IEEE/ACM International Workshop on Search-Based and Fuzz Testing - Duration: 14 May 2023 → …

Conference

Conference	IEEE/ACM International Workshop on Search-Based and Fuzz Testing
Abbreviated title	SBFT
Period	14/05/23 → …

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10.1145/3643659.3648603

Cite this

@inproceedings{a155bcae092f45afa73805d9383b7f1c,

title = "Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV",

abstract = "WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.",

author = "Jesper Winsten and Valentin Soloviev and Jarkko Peltom{\"a}ki and Ivan Porres",

year = "2024",

doi = "10.1145/3643659.3648603",

language = "English",

booktitle = "2024 ACM/IEEE International Workshop on Search-Based and Fuzz Testing (SBFT {\textquoteright}24)",

publisher = "ACM",

note = "IEEE/ACM International Workshop on Search-Based and Fuzz Testing , SBFT ; Conference date: 14-05-2023",

}

TY - GEN

T1 - Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

AU - Winsten, Jesper

AU - Soloviev, Valentin

AU - Peltomäki, Jarkko

AU - Porres, Ivan

PY - 2024

Y1 - 2024

N2 - WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.

AB - WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.

U2 - 10.1145/3643659.3648603

DO - 10.1145/3643659.3648603

M3 - Conference contribution

BT - 2024 ACM/IEEE International Workshop on Search-Based and Fuzz Testing (SBFT ’24)

PB - ACM

T2 - IEEE/ACM International Workshop on Search-Based and Fuzz Testing

Y2 - 14 May 2023

ER -

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Abstract

Conference

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