A method of tunnel critical rock identification and stability analysis based on a laser point cloud

Li, Liping; Cui, Lanyu; Liu, Hongliang; Qin, Chengshuai; Hu, Jie; Zhang, Mingguang

doi:10.1007/s12517-020-05563-9

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Intensity, as an important information source collected by LiDAR, can enhance the ability of systems to perceive their environment [23]. With the increasing application of intensity information in the field of object detection, some researchers have attempted to incorporate it into LiDAR SLAM using deep learning techniques.…”

Section: Intensity-assisted Lidar Slammentioning

confidence: 99%

An intensity-enhanced LiDAR SLAM for unstructured environments

Dai,

Zhou,

et al. 2023

Meas. Sci. Technol.

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Traditional LiDAR Simultaneous Localization And Mapping (SLAM) methods rely on geometric features such as lines and planes to estimate pose. However, in unstructured environments where geometric features are sparse or absent, point cloud registration may fail, resulting in decreased mapping and localization accuracy of the LiDAR SLAM system. To overcome this challenge, we propose a comprehensive LiDAR SLAM framework that leverages both geometric and intensity information, specifically tailored for unstructured environments. Firstly, we adaptively extract intensity features and construct intensity constraints based on degradation detection, and then propose a multi-resolution intensity map construction method. The experimental results show that our method achieves a 55% accuracy improvement over the pure geometric LiDAR SLAM system and exhibits superior anti-interference capability in urban corner scenarios. Compared with Intensity-SLAM, the advanced intensity-assisted LiDAR SLAM, our method achieves higher accuracy and efficiency.

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Section: Intensity-assisted Lidar Slammentioning

confidence: 99%

An intensity-enhanced LiDAR SLAM for unstructured environments

Dai,

Zhou,

et al. 2023

Meas. Sci. Technol.

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“…In fact, by optimizing the deformation data extraction and improving the registration algorithm [20][21][22][23], the accuracy of tunnel 3D modeling and deformation monitoring can be efectively improved [14,[24][25][26]. In addition, research on intelligent identifcation and long-term stability evaluation of geotechnical structures based on 3D laser point clouds has also made great progress [27][28][29]. Te above research shows that the measurement accuracy of the highest accuracy 3D laser scanner can replace the total station in many applications and can meet the accuracy requirements of tunnel deformation monitoring.…”

Section: Introductionmentioning

confidence: 99%

Experiment and Application of NATM Tunnel Deformation Monitoring Based on 3D Laser Scanning

Yang

et al. 2023

Structural Control and Health Monitoring

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In recent years, 3D laser scanning technology has been applied to tunnel engineering. Although more intelligent than traditional measurement technology, it is still challenging to estimate the real-time deformation of NATM tunnel excavation from laser detection and ranging point clouds. To further improve the measurement accuracy of 3D laser scanning technology in the tunnel construction process, this paper proposes an improved Kriging filtering algorithm. Considering the spatial correlation of the described object, the optimization method of point cloud grid filtering is studied. By analyzing the full-space deformation field of the tunnel lining, the deformation information of the measuring points on the surface of the tunnel lining is extracted. Based on the actual project, through the on-site monitoring comparison test, the three-dimensional laser point cloud data are grid processed and analyzed, and the deformation data obtained from the test are compared with the data measured by traditional methods. The experimental results show that the Kriging filtering algorithm can not only efficiently identify and extract the tunnel profile visualization data but also efficiently and accurately obtain the tunnel deformation. The measurement results obtained by using the proposed technology are in good agreement with those obtained by using traditional monitoring methods. Therefore, tunnel deformation monitoring based on 3D laser scanning technology can better reflect the evolution of the tunnel full-space deformation field under certain environmental conditions and can provide an effective safety warning for tunnel construction.

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Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

Yuan

Yang

et al. 2021

Sensors

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As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.

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A method of tunnel critical rock identification and stability analysis based on a laser point cloud

Cited by 3 publications

References 3 publications

An intensity-enhanced LiDAR SLAM for unstructured environments

An intensity-enhanced LiDAR SLAM for unstructured environments

Experiment and Application of NATM Tunnel Deformation Monitoring Based on 3D Laser Scanning

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

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