Performance Verification of Integrated Module for Automatic Analysis of Digital Maps in Earthwork Sites

Yonggun Kim; Suyeul Park; Yeongjun Choi; Seok Kim

doi:10.55785/JCAR.2.1.1

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2023 Vol.2, Issue 1 Next Page

Performance Verification of Integrated Module for Automatic Analysis of Digital Maps in Earthwork Sites 토공현장 디지털맵 자동분석 통합모듈 성능 검증

14 April 2023. pp. 1-6

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Abstract

Research on digitalization of construction sites using UAV (Unmanned Aerial Vehicles), UGV (Unmanned Ground Vehicles), and three-dimensional scanners is rapidly progressing. However, most 3D digital map generation and analysis technologies are still performed individually by utilizing libraries and software that require human intervention. In this study, we developed a digital map automatic analysis framework by reviewing five algorithms required for digital map generation and analysis for 3D digital map generation and analysis automation, defining the optimal forward and backward relationship between algorithms. In addition, based on the developed framework, the "digital map automatic analysis integrated module" is developed by considering the scan data format conversion and data processing process for automation. Furthermore, the effectiveness of the development module was verified by automating and speed testing the developed "digital map automatic analysis integrated module".

Keywords

3D Digital Map

Automation Technology

Earthwork Site

Digital Map Generation

Performance Analysis

UAV(Unmanned Aerial Vehicles) 및 UGV(Unmanned Ground Vehicles), 3차원 스캐너를 활용한 건설현장 디지털화에 대한 연구가 빠르게 진행되고 있다. 하지만 여전히 대부분의 3차원 디지털맵 생성 및 분석기술의 경우 인력의 개입이 필요로 하는 라이브러리 및 소프트웨어를 활용하여 개별적으로 수행하고 있다. 본 연구에서는 3차원 디지털맵 생성 및 분석 자동화를 위해 디지털맵 생성 및 분석에 필요로 하는 5가지 알고리즘을 검토하여, 알고리즘간 최적의 선후행 관계를 정의하고 디지털맵 자동분석 프레임워크를 개발하였다. 또한 개발된 프레임워크를 기반으로 자동화를 위한 스캔데이터 포맷변환 및 데이터 처리 프로세스를 고려해 “디지털맵 자동분석 통합모듈”을 개발하였다. 나아가 개발된 “디지털맵 자동분석 통합모듈”의 자동화 및 속도 테스트를 수행하여 개발 모듈의 성능을 검증하였다.

키워드

3차원 디지털맵

자동화 기술

토공현장

디지털맵 생성

성능분석

References

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

Julge, K., Ellmann, A., and Köök, R. (2019). Unmanned aerial vehicle surveying for monitoring road construction earthworks. The Baltic Journal of Road And Bridge Engineering, 14(1), pp. 1-17. 10.7250/bjrbe.2019-14.430

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 Environmental Engineering Research, 42(5), pp. 689-699.

Kim, J., Lee, J., Park, S., and Ko, K. (2018). A Modified Method for Registration of 3D Point Clouds with a Low Overlap Ratio. Journal of the Korea Computer Graphics Society, 24(5), pp. 11-19. 10.15701/kcgs.2018.24.5.11

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

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.

Qin, R. (2014). Change detection on LOD 2 building models with very high resolution spaceborne stereo imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 96, pp. 179-192. 10.1016/j.isprsjprs.2014.07.007

Wang, Q., 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 :1
Pages :1-6
Received Date : 2023-03-02
Revised Date : 2023-03-21
Accepted Date : 2023-03-22
DOI :https://doi.org/10.55785/JCAR.2.1.1

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

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