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Designing a Human-in-the-Loop System for Object Detection in Floor Plans

Jakubik, Johannes ORCID iD icon 1; Hemmer, Patrick 1; Vössing, Michael ORCID iD icon 1; Blumenstiel, Benedikt 1; Bartos, Andrea 2; Mohr, Kamilla 2
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
2 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

In recent years, companies in the Architecture, Engineering, and Construction (AEC) industry have started exploring how artificial intelligence (AI) can reduce time-consuming and repetitive tasks. One use case that can benefit from the adoption of AI is the determination of quantities in floor plans. This information is required for several planning and construction steps. Currently, the task requires companies to invest a significant amount of manual effort. Either digital floor plans are not available for existing buildings, or the formats cannot be processed due to lack of standardization. In this paper, we therefore propose a human-in-the-loop approach for the detection and classification of symbols in floor plans. The developed system calculates a measure of uncertainty for each detected symbol which is used to acquire the knowledge of human experts for those symbols that are difficult to classify. We evaluate our approach with a real-world dataset provided by an industry partner and find that the selective acquisition of human expert knowledge enhances the model’s performance by up to 12.9%—resulting in an overall prediction accuracy of 92.1% on average. ... mehr

DOI: 10.1609/aaai.v36i11.21522
Zugehörige Institution(en) am KIT Fakultät für Wirtschaftswissenschaften – Institut für Informationswirtschaft und -management (IISM)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator ISBN: 978-1-57735-876-3
ISSN: 2159-5399
KITopen-ID: 1000143527
Erschienen in Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Online, 22.02.2022-01.03.2022
Veranstaltung 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Online, 22.02.2022 – 01.03.2022
Verlag Association for the Advancement of Artificial Intelligence (AAAI)
Seiten 12524-12530
Serie Proceedings of the Annual Conference on Innovation Applications of Artificial Intelligence ; 11
Schlagwörter Human-in-the-Loop, Floor Plan Analysis, Object Detection, Computer Vision
Nachgewiesen in Dimensions
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