Evidence map›Paper›PMID 40006440›Full record

ArticleSensors (Basel, Switzerland)2025

How Accurate Can 2D LiDAR Be? A Comparison of the Characteristics of Calibrated 2D LiDAR Systems.

Adam Ziębiński, Piotr Biernacki

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Adam ZiębińskiDepartment of Distributed Systems and Informatic Devices, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.ORCID 0000-0003-4554-6667
Piotr BiernackiInstitute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland.ORCID 0000-0002-0159-4782

Funding

POLNOR 2019 Polish-Norwegian research projects financed under EEA and Norway Grants for the years 2014-2021 NOR/POLNOR/CoBotAGV/0027/2019-00
6 · The paper itself

Abstract

The utilization of 2D Light Detection and Ranging (LiDAR) measurements does not always provide the precision needed to accurately determine the motion range or recalibrate the position of Autonomous Guided Vehicles (AGVs). Consequently, it is essential to employ filtering and calibration methods to enhance the precision and accuracy of measurements derived from 2D LiDAR. The article proposes a multi-sectional calibration (MSC) method incorporating a median filtration (MF) phase to enhance the measurement accuracy of 2D LiDAR. The investigation focused on identifying the optimal window width for the MF module among a selection of 2D LiDAR systems. The division of the complete measurement range into sections resulted in a significant enhancement in sensitivity to deviations in measurements. The efficacy of the proposed method is evidenced by its ability to enhance accuracy in distance measurements by up to 89% for the optimal window width. The experiments indicated that the proposed method has a significant impact on the precision and accuracy of distance measurements for 2D LiDAR systems.

Indexed as

2D LiDARAGVcurve fittingfiltrationsensor calibrationsingle-beam distance sensors

Identifiers

PMID40006440
PMCPMC11861521

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.