Three-axis self-calibration method and device for vehicle-mounted acceleration sensor

Abstract

The invention discloses a triaxial self calibration device for a vehicle-mounted acceleration sensor. A triaxial self calibration method comprises the following steps: a calibrated z axis direction is determined, a calibrated x y plane is determined, original acceleration data are projected onto the calibrated x y plane, a dense area is deleted, a calibrated y axis negative direction can be obtained through calculation, x y coordinates under a calibrated coordinate system are obtained, an acceleration data calibration matrix is obtained through calculation, and calibrated acceleration data are obtained. The invention also discloses the triaxial self calibration method and device for the vehicle-mounted acceleration sensor; the triaxial self calibration method and device comprises a z axis calibration module, an x y plane determining module, a y axis calibration module, an x axis calibration module, a calibration matrix calculation module and a calibration data calculation module. The triaxial self calibration method and device provided in the invention can accurately provide real-time acceleration change in vehicle triaxial directions.

Description

technical field [0001] The invention relates to the technical field of acceleration sensor applications, in particular to a three-axis self-calibration method and device for a vehicle-mounted acceleration sensor. Background technique [0002] The on-board terminal needs to accurately provide the real-time three-axis force of the vehicle as the basis for vehicle collision event identification, accident process restoration, and driving behavior evaluation. At present, the acceleration sensors on the market can only provide the magnitude of the three-axis force with a fixed sensor direction. At the same time, the position and horizontal angle of the vehicle-mounted terminal on the vehicle have many uncertain factors, which eventually lead to the acceleration sensor being unable to provide real-time three-axis (vehicle driving) direction, the direction perpendicular to the horizontal plane of the driving direction, and the acceleration change in the direction perpendicular to th...

AI Technical Summary

Problems solved by technology

However, this method has certain requirements for the driver's operation, and because the actual situation is complex, it is easy to cause errors in the calibration parameters due to factors such as road surface roughness, interference from other vehicles, vehicle performance, and vehicle vibration, resulting in poor calibration accuracy.

At the same time, because this calibration is a one-time operation, the error caused by the above reasons cannot be corrected by multiple operations, and the accuracy of the calibrated data cannot be determined

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