Wheel-Mounted Inertial Datasets.

Dusan Nemec, Gal Versano, Vojtech Simak, Michal Gregor, Itai Savin, Juraj Kekelak, Itzik Klein

Abstract read

In one paragraph

Article in Scientific data, 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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Dusan Nemec *Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Slovakia.

Gal Versano *Autonomous Navigation and Sensor Fusion Lab, at the Charney School of Marine Sciences, Hatter Department of Marine Technologies, University of Haifa, Haifa, Israel.

Vojtech Simak *Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Slovakia.

Michal Gregor *Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Slovakia.

Itai Savin *Autonomous Navigation and Sensor Fusion Lab, at the Charney School of Marine Sciences, Hatter Department of Marine Technologies, University of Haifa, Haifa, Israel.

Juraj Kekelak *Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Slovakia.

Itzik Klein *Autonomous Navigation and Sensor Fusion Lab, at the Charney School of Marine Sciences, Hatter Department of Marine Technologies, University of Haifa, Haifa, Israel. kitzik@univ.haifa.ac.il.ORCID http://orcid.org/0000-0001-7846-0654

Funding

Agentúra na Podporu Výskumu a Vývoja (Slovak Research and Development Agency) APVV SK-IL-RD-23-0002

6 · The paper itself

Abstract

A wheel-mounted inertial sensor mitigates inertial drift more effectively than an inertial sensor mounted on the vehicle chassis. Although their usage is increasing, there is no publicly available dataset for wheel-mounted inertial sensors. To fill this gap, this work presents the wheel-mounted inertial (WMI) dataset. WMI was recorded using two platforms: an omni-directional robot equipped with 5 IMUs, and a passenger car equipped with 9 IMUs. Each platform features IMUs mounted on every wheel. In total 64.04 minutes of recordings for each IMU (490 minutes for all IMUs) were made with associated ground truth trajectory. This versatile dataset will help develop model-based and data-driven approaches with wheel mounted inertial sensors.

Identifiers

PMID41387737

DOI10.1038/s41597-025-06224-w

PMCPMC12717201

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.