Estimating displacement of periodic motion with inertial sensors
Open accessAbstract
Inertial sensors, like accelerometers and gyroscopes, are rarely used by themselves to measure displacement. Accuracy of inertial sensors is greatly handicapped by the notorious integration drift, which arises due to numerical integration of the sensors zero bias error. A solution is proposed in this paper to provide drift free estimation of displacement from inertial sensors.
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- Authors
- Tan, U.-X., Veluvolu, K. C., Latt, W. T., Shee, C. Y., Riviere, C. N., & Ang, W. T.
- Affiliations
- Nanyang Technological University (SG)
- Carnegie Mellon University (US)
- Venue
- IEEE Sensors Journal
- Published
- 2008-08
- Volume
- 8
- Issue
- 8
- Pages
- 1385-1388
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- PMC
- PMC2778319
- OpenAlex
- W2157517022
- Cited by
- 67
- References
- 5
- Citations by year
- 2023: 2 · 2022: 4 · 2020: 3 · 2019: 4 · 2018: 10 · 2016: 5 · 2015: 5 · 2014: 9 · 2013: 7 · 2012: 3
- FWCI
- 10.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- IEEE Sensors Journal (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Eye Institute (R21EY016359)
- National Institute of Biomedical Imaging and Bioengineering (R01EB000526, R01EB007969)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Keywords
- inertial sensors, displacement estimation, periodic motion, integration drift, accelerometer, gyroscope, drift correction
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