Identification of rocky ledge on steep, high slopes based on UAV photogrammetry

Wang, Xuan-hao; Zhang, Guike; Yang, Hong

doi:10.1007/s11069-022-05803-z

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…Moreover, the complexity of processing satellite remote-sensing image data hampers its widespread application in daily highway maintenance. Conversely, UAV closerange photogrammetry technology is terrain-independent and easy to operate, making significant strides in geological disaster investigation [6,7] .…”

Section: Introductionmentioning

confidence: 99%

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Xin,

Feng,

Yiqiang

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The safety and stability of highway slopes have always been critical concerns in highway management and maintenance. However, mountain road slopes, characterized by their small scale, large quantity, and complex geological conditions, pose challenges for effective deformation detection, putting significant pressure on highway management and maintenance. To address the difficulty in identifying hidden hazards of highway slopes in mountainous areas, this study proposes the use of unmanned aerial vehicle (UAV) closed-range photogrammetry technology for slope inspection. The M3C2 (Multiscale Model-to-Model Cloud Comparison) algorithm is employed to accurately calculate differences in multi-phase three-dimensional point cloud data, enabling the detection of overall slope deformation with centimeter-level precision. Field verification conducted on a highway slope in Qingtian County, Zhejiang Province, demonstrated the applicability of UAV 3D point cloud data in investigating highway slope hazards, thereby enhancing inspection efficiency and quality and providing technical support for highway management and maintenance.

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Section: Introductionmentioning

confidence: 99%

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Xin,

Feng,

Yiqiang

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography

Chen,

Hao,

Wang

et al. 2023

Geological Journal

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Efficient and accurate extraction of discontinuity geometric parameters is significant for evaluating the stability and seepage characteristics of a rock mass. Traditional means of rock discontinuity measurement are susceptible to the influence of terrain and have issues such as high operational workload and low efficiency. An approach was proposed to comprehensively and efficiently obtain the geometric parameter information of the discontinuity, using an Unmanned Aerial Vehicle (UAV), which consists of the following five procedures: (1) measurement of a rock slope with UAV, (2) creation of three‐dimensional (3D) point cloud model for the slope, (3) voxel filtering of point cloud data, (4) planar segmentation based on modified region growing (MRG) algorithm, and (5) acquisition of parameter set of the discontinuity (orientation, trace length, and spacing). A new code, FacetDetect, has been developed based on this method to identify discontinuity from a 3D point cloud. Meanwhile, the trace length and spacing are calculated by the code written in Python. A comparison with the three‐point method reveals that most errors are less than 3° for dip angles and dip directions. These deviations are reasonable and confirm the reliability of the method. Overall, this method is a valuable reference for automatic discontinuity interpretation and related fields.

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Research on the Application of UAV Photogrammetry Technology in Highway Slope Deformation Identification

Yan,

Yu,

Zhan

et al. 2024

Lecture Notes in Civil Engineering

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The safety of highway slope is always one of the key works of highway management and maintenance department. However, the current highway slope maintenance inspection is mainly manual inspection, monitoring coverage is very low, only a few slopes installed automatic monitoring equipment. Due to the high cost and complex installation of automatic monitoring equipment, how to carry out efficient deformation inspection of highway slope is an important direction of highway maintenance research. Thanks to the rapid development of UAV close-range photogrammetry technology, this paper proposes to use UAV close-range photogrammetry technology to identify highway slope deformation. It mainly shoots UAV aerial survey images and obtains three-dimensional point cloud data of highway slope time series through data processing processes such as encryption and adopts ICP algorithm to register multi-phase point clouds. The change of three-dimensional point cloud is obtained by using point cloud difference calculation, so that the displacement and deformation characteristics of highway side slope are obtained. Through the application of field cases, the study verified the effectiveness of UAV close-range photogrammetry technology in highway slope deformation identification, with an accuracy of about cm level. The proposal and promotion of this technology can provide data support for subsequent highway slope protection and management and is of great significance for improving the quality and work efficiency of highway slope maintenance and management.

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Identification of rocky ledge on steep, high slopes based on UAV photogrammetry

Cited by 6 publications

References 27 publications

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

Semi‐automatic identification of discontinuity parameters in rock masses based on Unmanned Aerial Vehicle photography

Research on the Application of UAV Photogrammetry Technology in Highway Slope Deformation Identification

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