Calibration test bench for three-axis accelerometers An accurate and low-cost proposal

D’Emilia, Giulio; Gaspari, Antonella; Natale, Emanuela

doi:10.1109/i2mtc.2018.8409584

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…As a consequence, it is important to investigate the actual responsiveness and precision of the MEMS sensor accelerometer when subjected to several sudden trajectory variations, characterized by different linear, tangential, and centripetal accelerations. The metrological characterization of the performance of IMU sensors, in static or linear dynamic conditions (as previously studied), may not be representative and accurate enough compared with curvilinear dynamic working conditions with respect to road geometry [ 45 , 46 , 47 ]. At present, the sensors and algorithms of AVs are still having trouble identifying road hazards and potential obstacles reasonably expected to be in the driving path [ 48 ], and at present, the legal framework has many regulatory gaps that have to be filled, so it is necessary to provide practical evidence and technical procedures to develop a suitable standardization supporting the manufacturers to ensure that AVs and integrated sensors work correctly [ 49 ].…”

Section: Local Navigation and Positioning Systems: A Brief Surveymentioning

confidence: 99%

Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility

Chiominto,

Natale,

D’Emilia

et al. 2024

Micromachines

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Sensors based on MEMS technology, in particular Inertial Measurement Units (IMUs), when installed on vehicles, provide a real-time full estimation of vehicles’ state vector (e.g., position, velocity, yaw angle, angular rate, acceleration), which is required for the planning and control of cars’ trajectories, as well as managing the in-car local navigation and positioning tasks. Moreover, data provided by the IMUs, integrated with the data of multiple inputs from other sensing systems (such as Lidar, cameras, and GPS) within the vehicle, and with the surrounding information exchanged in real time (vehicle to vehicle, vehicle to infrastructure, or vehicle to other entities), can be exploited to actualize the full implementation of “smart mobility” on a large scale. On the other hand, “smart mobility” (which is expected to improve road safety, reduce traffic congestion and environmental burden, and enhance the sustainability of mobility as a whole), to be safe and functional on a large scale, should be supported by highly accurate and trustworthy technologies based on precise and reliable sensors and systems. It is known that the accuracy and precision of data supplied by appropriately in-lab-calibrated IMUs (with respect to the primary or secondary standard in order to provide traceability to the International System of Units) allow guaranteeing high quality, reliable information managed by processing systems, since they are reproducible, repeatable, and traceable. In this work, the effective responsiveness and the related precision of digital IMUs, under sinusoidal linear and curvilinear motion conditions at 5 Hz, 10 Hz, and 20 Hz, are investigated on the basis of metrological approaches in laboratory standard conditions only. As a first step, in-lab calibrations allow one to reduce the variables of uncontrolled boundary conditions (e.g., occurring in vehicles in on-site tests) in order to identify the IMUs’ sensitivity in a stable and reproducible environment. For this purpose, a new calibration system, based on an oscillating rotating table was developed to reproduce the dynamic conditions of use in the field, and the results are compared with calibration data obtained on linear calibration benches.

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Section: Local Navigation and Positioning Systems: A Brief Surveymentioning

confidence: 99%

Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility

Chiominto,

Natale,

D’Emilia

et al. 2024

Micromachines

Self Cite

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“…1. it is necessary to evaluate how much the variability of the sampling frequency affects the uncertainty of determining the sensitivity with the FFT peak method, used in this work; 2. the variability of the sampling frequency does not allow the application of some methods of evaluation of the main and transversal sensitivities in which a point-to-point comparison with the reference accelerations is expected [18]. It is therefore necessary to develop specific methods to deal with this problem properly.…”

Section: Fig 5 Comparison Between Mems Output Acceleration and Refere...mentioning

confidence: 99%

A contribution to trustworthiness of data from digital MEMS accelerometers for smart mobility

D’Emilia,

Chiominto,

Gaspari

et al. 2023

Proceedings of the 19th IMEKO TC10 International Conference on Measurement for Diagnostics, Optimization and Control on Measure

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In this work the problem of traceability of sensors used for intelligent mobility is addressed, in particular with reference to MEMS digital accelerometers. This topic is of great importance from the point of view of data reliability, and has significant implications in the field of safety. For this purpose, a rotating calibration bench is used to reproduce the conditions of use in the field, and the results are compared with calibration data obtained on linear type benches.

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A data fusion control-based broad-band and high-dynamic excitation generation method for calibrating the low-frequency linear vibration sensors

Huang,

Liu,

Cai

et al. 2024

Measurement

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Calibration test bench for three-axis accelerometers An accurate and low-cost proposal

Cited by 6 publications

References 14 publications

Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility

Responsiveness and Precision of Digital IMUs under Linear and Curvilinear Motion Conditions for Local Navigation and Positioning in Advanced Smart Mobility

A contribution to trustworthiness of data from digital MEMS accelerometers for smart mobility

A data fusion control-based broad-band and high-dynamic excitation generation method for calibrating the low-frequency linear vibration sensors

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