Outlier detection of point clouds generating from low-cost UAVs for bridge inspection

S. Chen; L. C. Truong-Hong; E. O’Keeffe; D. F. Laefer; E. Mangina

Outlier detection of point clouds generating from low-cost UAVs for bridge inspection

S. Chen, L. C. Truong-Hong, E. O’Keeffe, D. F. Laefer, E. Mangina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Using an Unmanned Aerial Vehicle (UAV) for documentation and inspection of civil infrastructures has become increasingly popular. One area of interest is in bridge inspection as it holds the potential of being safer, more economical, and less disruptive, with respect to traffic flow.With 3D reconstruction method, structural deficiencies and 3D models can be obtained from a 3D point cloud generated from UAV imagery data. However, shadows and water reflectivity may affect the quality of the point cloud generated from images, which causes difficulty in data processing. This paper presents a detailed workflow of removing outlier data points through the statistical filter and geometric-based filter. The experimental results showed that the statistical filter was given the best performance.

Original language	English (US)
Title of host publication	Life-Cycle Analysis and Assessment in Civil Engineering
Subtitle of host publication	Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
Editors	Dan M. Frangopol, Robby Caspeele, Luc Taerwe
Publisher	CRC Press/Balkema
Pages	1969-1975
Number of pages	7
ISBN (Print)	9781138626331
State	Published - 2019
Event	6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 - Ghent, Belgium Duration: Oct 28 2018 → Oct 31 2018

Publication series

Name	Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018

Conference

Conference	6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018
Country/Territory	Belgium
City	Ghent
Period	10/28/18 → 10/31/18

ASJC Scopus subject areas

Civil and Structural Engineering
Safety, Risk, Reliability and Quality

Cite this

Chen, S., Truong-Hong, L. C., O’Keeffe, E., Laefer, D. F., & Mangina, E. (2019). Outlier detection of point clouds generating from low-cost UAVs for bridge inspection. In D. M. Frangopol, R. Caspeele, & L. Taerwe (Eds.), Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018 (pp. 1969-1975). (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018). CRC Press/Balkema.

Outlier detection of point clouds generating from low-cost UAVs for bridge inspection. / Chen, S.; Truong-Hong, L. C.; O’Keeffe, E. et al.
Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. ed. / Dan M. Frangopol; Robby Caspeele; Luc Taerwe. CRC Press/Balkema, 2019. p. 1969-1975 (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, S, Truong-Hong, LC, O’Keeffe, E, Laefer, DF & Mangina, E 2019, Outlier detection of point clouds generating from low-cost UAVs for bridge inspection. in DM Frangopol, R Caspeele & L Taerwe (eds), Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018, CRC Press/Balkema, pp. 1969-1975, 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018, Ghent, Belgium, 10/28/18.

Chen S, Truong-Hong LC, O’Keeffe E, Laefer DF, Mangina E. Outlier detection of point clouds generating from low-cost UAVs for bridge inspection. In Frangopol DM, Caspeele R, Taerwe L, editors, Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. CRC Press/Balkema. 2019. p. 1969-1975. (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018).

Chen, S. ; Truong-Hong, L. C. ; O’Keeffe, E. et al. / Outlier detection of point clouds generating from low-cost UAVs for bridge inspection. Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018. editor / Dan M. Frangopol ; Robby Caspeele ; Luc Taerwe. CRC Press/Balkema, 2019. pp. 1969-1975 (Life-Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision - Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018).

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abstract = "Using an Unmanned Aerial Vehicle (UAV) for documentation and inspection of civil infrastructures has become increasingly popular. One area of interest is in bridge inspection as it holds the potential of being safer, more economical, and less disruptive, with respect to traffic flow.With 3D reconstruction method, structural deficiencies and 3D models can be obtained from a 3D point cloud generated from UAV imagery data. However, shadows and water reflectivity may affect the quality of the point cloud generated from images, which causes difficulty in data processing. This paper presents a detailed workflow of removing outlier data points through the statistical filter and geometric-based filter. The experimental results showed that the statistical filter was given the best performance.",

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AB - Using an Unmanned Aerial Vehicle (UAV) for documentation and inspection of civil infrastructures has become increasingly popular. One area of interest is in bridge inspection as it holds the potential of being safer, more economical, and less disruptive, with respect to traffic flow.With 3D reconstruction method, structural deficiencies and 3D models can be obtained from a 3D point cloud generated from UAV imagery data. However, shadows and water reflectivity may affect the quality of the point cloud generated from images, which causes difficulty in data processing. This paper presents a detailed workflow of removing outlier data points through the statistical filter and geometric-based filter. The experimental results showed that the statistical filter was given the best performance.

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Outlier detection of point clouds generating from low-cost UAVs for bridge inspection

Abstract

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Conference

ASJC Scopus subject areas

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