Measurement System for the Calibration of Accelerometer Arrays Article Swipe
Richárd Pesti
,
Dominik Csík
,
Peter Šarčević
,
Ákos Odry
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.14232/analecta.2024.2.30-37
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.14232/analecta.2024.2.30-37
This paper addresses accelerometer array calibration, focusing on determining the errors between multiple sensors. Micro-electromechanical system (MEMS) based triaxial accelerometers, key components of Inertial Measurement Units (IMUs), are used in localization, robotics, and navigation systems. The requirements of these applications necessitate low-cost sensors, which makes MEMS IMUs a reasonable choice. However, these low-cost IMUs are significantly affected by systematic (i.e., bias, misalignment, scale-factor) and random errors. Achieving reliable sensor output depends on the precision of the executed calibration method. While traditional laboratory-based sensor calibration using specialized equipment (i.e., three-axis turntable) is accurate, it is time-consuming and costly. In contrast, in-field calibration techniques, which can be performed using a mechatronic actuator or a robotic arm, have gained popularity. These techniques involve comparing sensor measurements to established reference values. The MEMS sensors are increasingly being used in multi-sensor applications, which demands not only individual sensor error calibration but also important to determine the axis misalignment between the used sensors. During calibration process, various optimization algorithms (e.g., GA, PSO) can also be used to find the error parameters. The proposed measurement system allows for individual calibration of misalignment, bias, and scale factor of the sensor array, and eliminates between-sensor misalignment errors.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.14232/analecta.2024.2.30-37
- OA Status
- diamond
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All OpenAlex metadata
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https://openalex.org/W4402171087Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.14232/analecta.2024.2.30-37Digital Object Identifier
- Title
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Measurement System for the Calibration of Accelerometer ArraysWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-08-04Full publication date if available
- Authors
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Richárd Pesti, Dominik Csík, Peter Šarčević, Ákos OdryList of authors in order
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https://doi.org/10.14232/analecta.2024.2.30-37Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.14232/analecta.2024.2.30-37Direct OA link when available
- Concepts
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Accelerometer, Calibration, Computer science, Remote sensing, Geography, Mathematics, Statistics, Operating systemTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 32, 63, 95, 186, 193 |
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| abstract_inverted_index.MEMS | 45, 128 |
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| abstract_inverted_index.have | 114 |
| abstract_inverted_index.only | 140 |
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| abstract_inverted_index.being | 132 |
| abstract_inverted_index.bias, | 60, 185 |
| abstract_inverted_index.error | 143, 173 |
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| abstract_inverted_index.these | 38, 51 |
| abstract_inverted_index.using | 84, 106 |
| abstract_inverted_index.which | 43, 102, 137 |
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| abstract_inverted_index.(e.g., | 163 |
| abstract_inverted_index.(i.e., | 59, 87 |
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| abstract_inverted_index.allows | 179 |
| abstract_inverted_index.array, | 192 |
| abstract_inverted_index.errors | 10 |
| abstract_inverted_index.factor | 188 |
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| abstract_inverted_index.random | 64 |
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| abstract_inverted_index.costly. | 96 |
| abstract_inverted_index.demands | 138 |
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| abstract_inverted_index.involve | 119 |
| abstract_inverted_index.method. | 78 |
| abstract_inverted_index.robotic | 112 |
| abstract_inverted_index.sensors | 129 |
| abstract_inverted_index.values. | 126 |
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| abstract_inverted_index.actuator | 109 |
| abstract_inverted_index.affected | 56 |
| abstract_inverted_index.executed | 76 |
| abstract_inverted_index.focusing | 6 |
| abstract_inverted_index.in-field | 99 |
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| abstract_inverted_index.proposed | 176 |
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| abstract_inverted_index.accurate, | 91 |
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| abstract_inverted_index.contrast, | 98 |
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| abstract_inverted_index.measurements | 122 |
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| abstract_inverted_index.time-consuming | 94 |
| abstract_inverted_index.accelerometers, | 19 |
| abstract_inverted_index.laboratory-based | 81 |
| abstract_inverted_index.Micro-electromechanical | 14 |
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| institutions_distinct_count | 4 |
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| citation_normalized_percentile.is_in_top_10_percent | False |