What does this research mean for the field?

An automated framework utilizing 3D point clouds can accurately integrate structure mapping and rock bolt identification to assess geotechnical rock support effectiveness in underground mines without manual measurements. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop an automated framework that unifies discontinuity mapping and rock bolt identification from 3D point clouds for integrated underground rock support evaluation.

September 8, 2026European Journal of Remote SensingOpen Access

Towards integrated rock support visualisation in 3D point cloud of underground mines

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Authors

DPDibyayan Patra SRSimit Raval PRPasindu Ranasinghe

Discussion

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Overview

Methodological study demonstrates automated 3D point cloud integration of rock bolt vectors and discontinuity planes in underground mines, highlighting streamlined geotechnical support assessment.

Key Points

To develop an automated framework that unifies discontinuity mapping and rock bolt identification from 3D point clouds for integrated underground rock support evaluation.
Designed an automated pipeline combining rock bolt detection, bolt orientation estimation, structure mapping, and discontinuity plane fitting from 3D point clouds.
Integrated stereographic analysis of discontinuity poles and bolt vectors with installation quality metrics, specifically exposed protrusion length and angular deviation from the local roof normal.
Demonstrated and evaluated the automated workflow using real-world point cloud scans acquired from underground metal mine excavations.
Generated unified 3D models illustrating spatial intersections and geometric relationships between fitted discontinuity planes and rock bolt vectors.
Accurately mapped rock structures and identified installed rock bolts across medium-scale mine scans without manual intervention or supplementary in-situ data collection.

Cite This Study

Patra et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd70a58e84d0ff5b45921 https://doi.org/10.1080/22797254.2026.2728772

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September 8, 2026European Journal of Remote SensingOpen Access

Towards integrated rock support visualisation in 3D point cloud of underground mines

View Full Paper

Ask AI

Bookmark

Authors

DPDibyayan Patra SRSimit Raval PRPasindu Ranasinghe

Discussion

Member takes

Overview

Methodological study demonstrates automated 3D point cloud integration of rock bolt vectors and discontinuity planes in underground mines, highlighting streamlined geotechnical support assessment.

Key Points

To develop an automated framework that unifies discontinuity mapping and rock bolt identification from 3D point clouds for integrated underground rock support evaluation.
Designed an automated pipeline combining rock bolt detection, bolt orientation estimation, structure mapping, and discontinuity plane fitting from 3D point clouds.
Integrated stereographic analysis of discontinuity poles and bolt vectors with installation quality metrics, specifically exposed protrusion length and angular deviation from the local roof normal.
Demonstrated and evaluated the automated workflow using real-world point cloud scans acquired from underground metal mine excavations.
Generated unified 3D models illustrating spatial intersections and geometric relationships between fitted discontinuity planes and rock bolt vectors.
Accurately mapped rock structures and identified installed rock bolts across medium-scale mine scans without manual intervention or supplementary in-situ data collection.

Cite This Study

Patra et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd70a58e84d0ff5b45921 https://doi.org/10.1080/22797254.2026.2728772

View Full Paper

Ask AI

Bookmark