Object detection-based knowledge graph creation: Enabling insight into construction processes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Compared to other industries, the construction sector shows low productivity worldwide. However, holistic, data-oriented methods for investigating potential bottlenecks within the as-performed construction stage are scarce. Our research presents an approach to acquiring raw data from job sites and its subsequent processing to high-level information. First, images were captured over a period of one year in high frequency using multiple crane cameras. Second, an end-to-end deep learning based approach was developed to derive and link information about construction activities, covering the classification and localization of specific on-site objects. This information was subsequently integrated into a knowledge graph. Finally, additional data sources like the weather were exploited to interpret different on-site scenarios. We demonstrate that construction-related activities like working times can be detected. The presented approach provides a significant step toward exposing correlations on construction sites by using multiple data processing steps and showcases the possibility of identifying process patterns.

Original languageEnglish
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
EditorsYelda Turkan, Joseph Louis, Fernanda Leite, Semiha Ergan
PublisherAmerican Society of Civil Engineers (ASCE)
Pages186-193
Number of pages8
ISBN (Electronic)9780784485224
DOIs
StatePublished - 2024
EventASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023 - Corvallis, United States
Duration: 25 Jun 202328 Jun 2023

Publication series

NameComputing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023
Country/TerritoryUnited States
CityCorvallis
Period25/06/2328/06/23

Fingerprint

Dive into the research topics of 'Object detection-based knowledge graph creation: Enabling insight into construction processes'. Together they form a unique fingerprint.

Cite this