Evidence map›Paper›PMID 35062428›Full record

ArticleSensors (Basel, Switzerland)2022

Pose Determination of the Disc Cutter Holder of Shield Machine Based on Monocular Vision.

Dandan Peng, Guoli Zhu, Dailin Zhang, Zhe Xie, Rui Liu, Jinlong Hu, Yang Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

7 authors.

Dandan PengSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Guoli ZhuSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Dailin ZhangSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0001-9848-4610
Zhe XieSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Rui LiuSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Jinlong HuSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Yang LiuSchool of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Funding

the National Key Research and Development Plan of China 2018YFB1306700
6 · The paper itself

Abstract

The visual measurement system plays a vital role in the disc cutter changing robot of the shield machine, and its accuracy directly determines the success rate of the disc cutter grasping. However, the actual industrial environment with strong noise brings a great challenge to the pose measurement methods. The existing methods are difficult to meet the required accuracy of pose measurement based on machine vision under the disc cutter changing conditions. To solve this problem, we propose a monocular visual pose measurement method consisting of the high precision optimal solution to the PnP problem (OPnP) method and the highly robust distance matching (DM) method. First, the OPnP method is used to calculate the rough pose of the shield machine's cutter holder, and then the DM method is used to measure its pose accurately. Simulation results show that the proposed monocular measurement method has better accuracy and robustness than the several mainstream PnP methods. The experimental results also show that the maximum error of the proposed method is 0.28° in the direction of rotation and 0.32 mm in the direction of translation, which can meet the measurement accuracy requirement of the vision system of the disc cutter changing robot in practical engineering application.

Indexed as

disc cutter holderdistance transformationmonocular visionOPnPpose estimation

Identifiers

PMID35062428
PMCPMC8779016

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.