On-Site Applicability of Terrain Interpolation Based on Semantic Segmentation in 3D Digital Maps of Earthwork Sites

Suyeul Park; Seok Kim

doi:10.55785/JCAR.2.4.25

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2023 Vol.2, Issue 4 Preview Page Next Page

Research Article

On-Site Applicability of Terrain Interpolation Based on Semantic Segmentation in 3D Digital Maps of Earthwork Sites 토공현장 3D 디지털맵의 의미론적 분할 기반 지형보간 기법 현장 적용성 검토

29 December 2023. pp. 25-32

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Abstract

Recent researches have been conducted on the creation and analysis of 3D digital maps targeting earthwork sites. This research contributes to the automation of constructing and analyzing 3D digital maps by developing a technique to interpolate the terrain of 3D point cloud data of construction equipment located on these maps, aligning their elevation with the surrounding ground level. Additionally, the study examines the practical application of this terrain interpolation technique on 3D point cloud data from earthwork sites. The outcomes of this research serve as a precursor to further studies on semantic segmentation of construction equipment's 3D point cloud data in earthwork scenarios. It implements automatic interpolation of construction equipment on 3D digital maps, enhanced by object recognition technology. This advancement is expected to significantly improve the accuracy of subsequent studies focused on detecting terrain changes at earthwork sites. Future implications of this research are promising, potentially aiding in the automation of various construction industry processes such as terrain change detection and analysis, and earthwork quantity estimation at earthwork sites.

Keywords

3D Digital Map

3D Point Clouds

Terrain Interpolation

Construction Heavy Equipment

Semantic Segmentation

최근 토공현장을 대상으로 3D 디지털맵을 구축하고 분석하는 다양한 연구들이 수행되고 있다. 본 연구는 3D 디지털맵을 구축 및 분석하는 자동화 연구에 일환으로 3D 디지털맵 상에 위치한 건설중장비의 3차원 점군 데이터(3D Point Cloud Data)에 대해 지형 보간을 실시하여 주변 지표면과 동일한 높이 값이 되도록 하는 기술을 개발하였다. 그리고 본 연구에서는 개발한 지형 보간 기술을 토공현장의 3차원 점군 데이터에 적용하여 현장 적용성을 검토하였다. 이러한 본 연구의 결과는 토공 현장을 대상으로 수행하는 건설중장비 3차원 점군 데이터의 의미론적 분할(Semantic Segmentation) 연구의 후속 연구로 객체인식 기술이 적용된 3D 디지털맵 상에 위치한 건설중장비를 자동으로 보간하는 기술을 구현하였으며, 본 연구의 후속연구인 토공현장의 지형변화탐지 연구의 정확성 향상에 도움이 될 것이다. 향후 본 연구의 결과는 토공현장의 지형변화탐지 및 분석, 토공량 산정 등 다양한 건설산업의 자동화 연구에 활용될 것으로 기대한다.

키워드

3D 디지털맵

3차원 점군 데이터

지형보간

건설중장비

의미론적 분할

References

Choi, Y. J., Park, S., and Kim, S. Y. (2022). GCP-Based Automated Fine Alignment Method for Improving the Accuracy of CoordinateInformation on UAV Point Cloud Data. Sensors, 22(22), p. 8735. 10.3390/s2222873536433331PMC9699057

Kim, S. W., and Kim, Y. S. (2019). Development and Evaluation of High-precision Earth-work Calculating System using Drone Survey. Journal of the Korean Geosynthetics Society, 18(4), pp. 87-95.

Kim, S., and Park, J. W. (2015). Analysis of accuracy and productivity of terrestrial laser scanner for earthwork. The Journal of the Korea Contents Association, 15(10), pp. 587-596. 10.5392/JKCA.2015.15.10.587

Kim, Y. G., Park, S. Y., and Kim, S. (2022). Development of Registration Post-Processing Technology to Homogenize the Density of the Scan Data of Earthwork Sites. KSCE Journal of Civil and Environ-mental Engineering Research, 42(5), pp. 689-699.

Kim, Y. G., Park, S. Y., Choi, Y. J., and Kim, S. (2023). Performance Verification of Integrated Module for Automatic Analysis of Digital Maps in Earthwork Sites. Journal of Construction Automation and Robotics, 2(1), pp. 1-6. 10.55785/JCAR.2.1.1

Park, S. Y., and Kim, S. (2020). Performance Evaluation of Denoising Algorithms for the 3D. Journal of KIBIM, 10, pp. 32-39.

Park, S. Y., and Kim, S. (2021). Analysis of overlap ratio for registration accuracy improvement of 3D point cloud data at construction sites. Journal of KIBIM, 11(5), pp. 1-9.

Seong, J. H., Han, Y. K., and Lee, W. H. (2018). Earth-Volume Measurement of Small Area Using Low-cost UAV. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 36(4), pp. 279-286.

Sinh, N. V., Ha, T. M., and Thanh, N. T. (2016). Filling holes on the surface of 3D point clouds based on tangent plane of hole boundary points. Proceedings of the 7th Symposium on Information and Communication Technology, December 2016, pp. 331-338.

Wang, C. l., and Kim, M. K. (2019). Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018. Advanced Engineering Informatics, 39, pp. 306-319. 10.1016/j.aei.2019.02.007

Information

Publisher :Korean Society of Automation and Robotics in Construction
Publisher(Ko) :(사)한국건설자동화·로보틱스학회
Journal Title :Journal of Construction Automation and Robotics
Journal Title(Ko) :건설자동화·로보틱스 논문집
Volume : 2
No :4
Pages :25-32
Received Date : 2023-12-06
Revised Date : 2023-12-27
Accepted Date : 2023-12-28
A Corrigendum to this article was published on 29 March 2024.

This article has been updated.
DOI :https://doi.org/10.55785/JCAR.2.4.25

Journal of Construction Automation and Robotics ISSN:2800-0552(Print) 2951-116X(Online) 건설자동화·로보틱스 논문집

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