Skip to main navigation Skip to search Skip to main content

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Research output: Chapter in Book/Conference proceedingPublished conference proceedingScientificpeer-review

6 Citations (Scopus)
97 Downloads (Pure)

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 languageEnglish
Title of host publicationProceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024
PublisherACM
Pages43-44
Number of pages2
ISBN (Electronic)9798400705625
ISBN (Print)979-8-4007-0562-5
DOIs
Publication statusPublished - 14 Apr 2024
MoE publication typeA4 Article in a conference publication
EventIEEE/ACM International Workshop on Search-Based and Fuzz Testing -
Duration: 14 May 2023 → …

Publication series

NameProceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024

Conference

ConferenceIEEE/ACM International Workshop on Search-Based and Fuzz Testing
Abbreviated titleSBFT
Period14/05/23 → …

Funding

This research work has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 101007350 AIDOaRT.

Fingerprint

Dive into the research topics of 'Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV'. Together they form a unique fingerprint.

Cite this