基于LT-CDBO算法的三维激光投影内参标定OA

To improve the calibration accuracy of a 3D laser projection system,a method for internal parameter calibration based on an improved dung beetle optimization algorithm(LT-CDBO)is proposed.This method is used to determine the mapping relationship between the projection coordinate system and the 2D galvanometer deflection angles in a 3D projection system.The original dung beetle algorithm is enhanced by introducing Logistic-Tent chaotic mapping to initialize the population,ensuring population diversity.Additionally,a Cauchy mutation strategy is employed to mutate the optimal solution of the dung beetle algorithm,thereby improving the algorithm's global search capability.Experimental results show that,compared to the particle swarm optimization and dung beetle optimizer,the root mean square error(ERMSE)of the internal parameter calibration results using the proposed improved dung beetle algorithm is reduced by 44.79%and 18.74%,respectively.It can provide a new optimization method for improving the calibration accuracy of internal parameters in 3D laser projection systems.