Evidence map›Paper›PMID 35214438›Full record

ArticleSensors (Basel, Switzerland)2022

Finding the Optimal Pose of 2D LLT Sensors to Improve Object Pose Estimation.

Dominik Heczko, Petr Oščádal, Tomáš Kot, Adam Boleslavský, Václav Krys, Jan Bém, Ivan Virgala, Zdenko Bobovský

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

8 authors.

Dominik HeczkoDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0003-3251-4391
Petr OščádalDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0002-6973-1501
Tomáš KotDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0003-2357-806X
Adam BoleslavskýDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.
Václav KrysDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0002-4840-6961
Jan BémDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.
Ivan VirgalaDepartment of Industrial Automation and Mechatronics, Faculty of Mechanical Engineering, Technical University of Kosice, 04200 Kosice, Slovakia.ORCID 0000-0001-8273-2384
Zdenko BobovskýDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0003-4134-5251

Funding

Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration CZ.02.1.01/0.0/0.0/17_049/0008425Specific research project financed by the state budget of the Czech Republic SP2022/67Transfer of knowledge from the field of industrial automation and robotics to teaching in the field of Mechatronics KEGA 030TUKE-4/2020
6 · The paper itself

Abstract

In this paper, we examine a method for improving pose estimation by correctly positioning the sensors relative to the scanned object. Three objects made of different materials and using different manufacturing technologies were selected for the experiment. To collect input data for orientation estimation, a simulation environment was created where each object was scanned at different poses. A simulation model of the laser line triangulation sensor was created for scanning, and the optical surface properties of the scanned objects were set to simulate real scanning conditions. The simulation was verified on a real system using the UR10e robot to rotate and move the object. The presented results show that the simulation matches the real measurements and that the appropriate placement of the sensors has improved the orientation estimation.

Indexed as

AlgorithmsLasersComputer SimulationICP algorithmlaser scanningLLT sensoroptimal configurationoptimal poseorientation estimationpose estimationvirtual scanning

Identifiers

PMID35214438
PMCPMC8879124

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.