Wheel-Mounted Inertial Datasets

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.

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Publication Details

Journal
Scientific Data
Published
2025-12-12
DOI
https://doi.org/10.1038/s41597-025-06224-w
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
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article

Wheel-Mounted Inertial Datasets

Michal Gregor, Itzik Klein, Dušan Nemec, Vojtech Šimák et al.
Scientific Data
Inertial Sensor and Navigation
article

Wheel-Mounted Inertial Datasets

Michal Gregor, Itzik Klein, Dušan Nemec, Vojtech Šimák, Itai Savin, Juraj Kekelák, Gal Versano
article en

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.

Scientific DataVol. 12(1)
University of Žilina (SK), University of Haifa (IL)
Openalex Percentile: Top 49%
Inertial Sensor and Navigation
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