Application of Kalman filtering algorithm in laser triangulation measurement

In order to improve the measurement precision of the laser displacement sensor. First, the cause of the error caused by the measured surface features is analyzed from the measurement principle of laser triangulation. Then, according to the result of error analysis, the Kalman filter algorithm is applied to the sensor data to carry out error compensation. Finally, the experiments were carried out with LS-100CP laser displacement sensor and MATLAB. The experimental results show that the Kalman filter algorithm in the application of laser triangulation measurement is feasible, effective and have a good practical value.