Evidence map›Paper›PMID 38257436›Full record

ArticleSensors (Basel, Switzerland)2024

A Study on Refraction Error Compensation Method for Underwater Spinning Laser Scanning Three-Dimensional Imaging.

Jinghui Zhang, Yuhang Wang, Tao Zhang, Kai Yang, Jian Zhang, Xinyu Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jinghui ZhangMechanical and Electrical Engineering College, Northeast Forestry University, Harbin 150040, China.
Yuhang WangMechanical and Electrical Engineering College, Northeast Forestry University, Harbin 150040, China.
Tao ZhangMechanical and Electrical Engineering College, Northeast Forestry University, Harbin 150040, China.
Kai YangMechanical and Electrical Engineering College, Northeast Forestry University, Harbin 150040, China.
Jian ZhangMechanical and Electrical Engineering College, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0003-4476-171X
Xinyu WangMechanical and Electrical Engineering College, Northeast Forestry University, Harbin 150040, China.

Funding

(1)key research and development project in Heilongjiang Province, China; (2)the Fundamental Research Funds for the Central Universities; (3)Postdoctoral Science Foundation of China (1)GZ20220105, GZ20220114; (2)2572023CT14-05,2572022BF03; (3)2023M730533
6 · The paper itself

Abstract

Laser scanning 3D imaging technology, because it can obtain accurate three-dimensional surface data, has been widely used in the search for wrecks and rescue operations, underwater resource development, and other fields. At present, the conventional underwater spinning laser scanning imaging system maintains a relatively fixed light window. However, in low-light situations underwater, the rotation of the scanning device causes some degree of water fluctuation, which warps the light strip data that the system sensor receives about the object's surface. To solve this problem, this research studies an underwater 3D scanning and imaging system that makes use of a fixed light window and a spinning laser (FWLS). A refraction error compensation algorithm is investigated that is based on the fundamentals of linear laser scanning imaging, and a dynamic refraction mathematical model is established based on the motion of the imaging device. The results of the experiment on error analysis in an optimal underwater environment indicate that the error in reconstructing the radius is decreased by 60% (from 2.5 mm to around 1 mm) when compensating for the measurement data of a standard sphere with a radius of 20 mm. Moreover, the compensated point cloud data exhibit a higher degree of correspondence with the model of the standard spherical point cloud. Furthermore, we examine the impact of physical noise, measurement distance, and partial occlusion of the object on the imaging system inside an authentic underwater setting. This study is a good starting point for looking at the refractive error of an underwater laser scanning imaging system. It also provides to us some ideas for future research on the refractive error of other scanning imaging methods.

Indexed as

fixed light window and laser spinning (FWLS)linear laser scanningrefraction error compensation algorithmself-rotatingunderwater 3D imaging

Identifiers

PMID38257436
PMCPMC10818774

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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.