Evidence map›Paper›PMID 41374549›Full record

ArticleSensors (Basel, Switzerland)2025

Optimizing 3D Laser Scanning Parameters for Early-Stage Defect Detectability in Subgrade Condition Monitoring.

Mengmeng Liu, Gang Liu, Mingzhi Zhao, Xin Zhang, Kai Yang, Yang Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mengmeng LiuSchool of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China.ORCID 0009-0006-4104-4335
Gang LiuSchool of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China.
Mingzhi ZhaoSchool of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China.ORCID 0000-0001-6048-0884
Xin ZhangSchool of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China.
Kai YangSchool of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China.
Yang ChenSchool of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China.

Funding

the National Natural Science Foundation of China 52008341the Shandong Provincial Department of Industry and Information Technology's Technological Innovation Project 201911901189
6 · The paper itself

Abstract

Terrestrial three-dimensional laser scanning, which plays a crucial role in engineering surveying for assessing the surface smoothness of highway embankments by providing a level of precision and continuous three-dimensional information that conventional measurement methods cannot achieve, is examined in this study through a series of field experiments designed to determine how station location, including sampling interval, station distance, and scanning angle, influences point cloud density, spatial distribution, laser reflectivity, and surface reconstruction accuracy, and the results demonstrate that point cloud quantity decreases as sampling interval, station distance, and scanning angle increase, that the resolution of reconstructed surface undulations diminishes accordingly, that scanning angle has only a limited effect on reconstruction fidelity, that locating the instrument as close as feasible to the target area and adopting a sampling interval of 0.03 m achieves an effective balance between measurement accuracy and operational efficiency, and that optimizing parameter selection by analyzing elevation deviations at key points enhances both data quality and model precision, thereby confirming the suitability of the proposed approach for reliable highway embankment condition monitoring.

Indexed as

highway embankmentpoint cloudscanning parameterssurface reconstructionterrestrial three-dimensional laser scanning

Identifiers

PMID41374549
PMCPMC12694023

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.