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Article: Extracting water channels from aerial videos based on image-to-BIM registration and spatio-temporal continuity

TitleExtracting water channels from aerial videos based on image-to-BIM registration and spatio-temporal continuity
Authors
KeywordsBuilding information model (BIM)
Computer vision
Image-to-BIM registration
Region of interest
Unmanned aerial vehicle (UAV)
Water supply infrastructure
Issue Date2021
Citation
Automation in Construction, 2021, v. 132, article no. 103970 How to Cite?
AbstractUnmanned aerial vehicles (UAV) are increasingly being used in water supply infrastructure inspection, resulting in a large volume of aerial visual assets (static photographs or videos). How to efficiently extract water channels from such assets for the benefits of hazard detection remains a challenge. This paper provides an aerial video processing approach for the extraction of various water channel structures, which includes a main algorithm based on the registration of video frames into a building information model (BIM), and a complementary algorithm enabled by aerial video spatio-temporal continuity. Experimental results demonstrate the effectiveness of the proposed approach, which can reliably extract water channels with least manual intervention. The results reveal the promise of exploiting readily-available information from BIM to automate aerial video processing. Future research is suggested to further explore the generalizability of the approach concerning variant flight settings and external environments.
Persistent Identifierhttp://hdl.handle.net/10722/324191
ISSN
2023 Impact Factor: 9.6
2023 SCImago Journal Rankings: 2.626
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Junjie-
dc.contributor.authorLiu, Donghai-
dc.contributor.authorLi, Xin-
dc.date.accessioned2023-01-13T03:02:07Z-
dc.date.available2023-01-13T03:02:07Z-
dc.date.issued2021-
dc.identifier.citationAutomation in Construction, 2021, v. 132, article no. 103970-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10722/324191-
dc.description.abstractUnmanned aerial vehicles (UAV) are increasingly being used in water supply infrastructure inspection, resulting in a large volume of aerial visual assets (static photographs or videos). How to efficiently extract water channels from such assets for the benefits of hazard detection remains a challenge. This paper provides an aerial video processing approach for the extraction of various water channel structures, which includes a main algorithm based on the registration of video frames into a building information model (BIM), and a complementary algorithm enabled by aerial video spatio-temporal continuity. Experimental results demonstrate the effectiveness of the proposed approach, which can reliably extract water channels with least manual intervention. The results reveal the promise of exploiting readily-available information from BIM to automate aerial video processing. Future research is suggested to further explore the generalizability of the approach concerning variant flight settings and external environments.-
dc.languageeng-
dc.relation.ispartofAutomation in Construction-
dc.subjectBuilding information model (BIM)-
dc.subjectComputer vision-
dc.subjectImage-to-BIM registration-
dc.subjectRegion of interest-
dc.subjectUnmanned aerial vehicle (UAV)-
dc.subjectWater supply infrastructure-
dc.titleExtracting water channels from aerial videos based on image-to-BIM registration and spatio-temporal continuity-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.autcon.2021.103970-
dc.identifier.scopuseid_2-s2.0-85115891180-
dc.identifier.volume132-
dc.identifier.spagearticle no. 103970-
dc.identifier.epagearticle no. 103970-
dc.identifier.isiWOS:000707841000003-

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