An efficient monocular vision-based dynamic calibration method for the sensitivities of low-frequency linear and angular accelerometers

The linear and angular accelerometers are widely used to measure the basic dynamic parameters in various aspects. However, the current calibration methods for determining their sensitivities are quite independent. This study investigates a monocular vision dynamic calibration method with a linear and angular excitation generation device, which can simultaneously determine the sensitivities. This method utilizes the improved Lucy–Richardson edge enhancement and line segment detection edge extraction methods to improve the calibration accuracy. Comparison experiments with the conventional methods show that the investigated method can obtain considerable accuracy in the 0.1–1 Hz and promote the unification of linear and angular vibration metrology.