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Power line mapping technique using all-terrain mobile laser scanning

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Lehtomäki, Matti
dc.contributor.author Kukko, Antero
dc.contributor.author Matikainen, Leena
dc.contributor.author Hyyppä, Juha
dc.contributor.author Kaartinen, Harri
dc.contributor.author Jaakkola, Anttoni
dc.date.accessioned 2019-06-20T13:11:55Z
dc.date.available 2019-06-20T13:11:55Z
dc.date.issued 2019-09-01
dc.identifier.citation Lehtomäki , M , Kukko , A , Matikainen , L , Hyyppä , J , Kaartinen , H & Jaakkola , A 2019 , ' Power line mapping technique using all-terrain mobile laser scanning ' , Automation in Construction , vol. 105 , 102802 . https://doi.org/10.1016/j.autcon.2019.03.023 en
dc.identifier.issn 0926-5805
dc.identifier.issn 1872-7891
dc.identifier.other PURE UUID: 08a5bc9f-dd0e-4dfe-a354-bd92a01e24f7
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/power-line-mapping-technique-using-allterrain-mobile-laser-scanning(08a5bc9f-dd0e-4dfe-a354-bd92a01e24f7).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85065883229&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/34324371/1_s2.0_S0926580518311993_main.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/38787
dc.description.abstract Power line mapping using remote sensing can automate the traditionally labor-intensive power line corridor inspection. Land-based mobile laser scanning (MLS) can be a good choice for the power line mapping if an aerial inspection is impossible, too costly or slow, unsafe, prohibited by regulations, or if more detailed information on the power line corridor is needed. The mapping of the power lines using MLS was studied in a rural environment outside the road network for the first time. An automatic power line extraction algorithm was developed. The algorithm first found power line candidate points based on the shape and orientation of the local neighborhood of a point using principal component analysis. Power lines were retrieved from the candidates using random sample consensus (Ransac) and a new power line labeling method, which takes into account the three-dimensional shape of the power lines. The new labeling method was able to find the power lines and remove false detections, which were found, for example, from the forest. The algorithm was tested in forested and open field (arable land) areas, outside the road environment using two different platforms of MLS, namely, personal backpack and all-terrain vehicle. The recall and precision of the power line extraction were 93.3% and 93.6%, respectively, using 10 cm as a distance criterion for a successful detection. Drifting of the positioning solution of the scanner was the largest error source, being the (contributory) cause for 60–70% of the errors. The platform did not have a significant effect on the power line extraction accuracy. The accuracy was higher in the open field compared to the forest, because the one-dimensional point density along the power line was inhomogeneous and GNSS (global navigation satellite system) signal was weak in the forest. The results suggest that the power lines can be mapped accurately enough for inspection purposes using MLS in a rural environment outside the road network. en
dc.format.extent 16
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Elsevier
dc.relation.ispartofseries Automation in Construction en
dc.relation.ispartofseries Volume 105 en
dc.rights openAccess en
dc.subject.other Control and Systems Engineering en
dc.subject.other Civil and Structural Engineering en
dc.subject.other Building and Construction en
dc.subject.other 1171 Geosciences en
dc.title Power line mapping technique using all-terrain mobile laser scanning en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Finnish Geospatial Research Institute
dc.contributor.department Department of Built Environment
dc.subject.keyword All-terrain
dc.subject.keyword Feature extraction
dc.subject.keyword Forest
dc.subject.keyword Inspection
dc.subject.keyword Lidar
dc.subject.keyword Mobile laser scanning
dc.subject.keyword Power line corridor
dc.subject.keyword Control and Systems Engineering
dc.subject.keyword Civil and Structural Engineering
dc.subject.keyword Building and Construction
dc.subject.keyword 1171 Geosciences
dc.identifier.urn URN:NBN:fi:aalto-201906203853
dc.identifier.doi 10.1016/j.autcon.2019.03.023
dc.type.version publishedVersion

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