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Real-time vision-based defect detection for large-scale on-site earthen additive manufacturing: Annotated dataset and dual-model framework

Crossref DOI link: https://doi.org/10.1016/j.autcon.2025.106666

Published Print: 2026-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Benz, Hendrik https://orcid.org/0009-0002-3717-252X
Nguyen Trong, The Vinh

Klemt-Albert, Katharina
Funding

Funding for this research was provided by:

Bundesministerium für Wirtschaft und Klimaschutz

Federal Ministry for Economic Affairs and Energy

Bundesinstitut für Bau- Stadt- und Raumforschung
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Text and Data Mining valid from 2026-01-01

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2025-11-21
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This article is maintained by: Elsevier

Article Title: Real-time vision-based defect detection for large-scale on-site earthen additive manufacturing: Annotated dataset and dual-model framework

Journal Title: Automation in Construction

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.autcon.2025.106666

Content Type: article

Copyright: © 2025 The Authors. Published by Elsevier B.V.