An Overview of a New Sensor Calibration Platform
time-series
conference
Summary
This paper presents a software platform built in R and C++ that implements the Generalized Method of Wavelet Moments for stochastic calibration of inertial sensors, making it straightforward to model the complex error signals produced by low-cost devices used in phones, watches, and small drones. The platform provides a broad range of predefined models and tools so practitioners can characterize sensor noise without requiring deep signal-processing expertise. Best Demonstration Award.
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