Intelligent Navigation Control Methods Based on Adaptive Thresholding and Improved Particle Swarm Fusion
Intelligent image navigation technology has become a prominent application in various fields.To address chal-lenges such as environmental dependence,limitations of traditional algorithms,and difficulties in precise model establish-ment,a novel method combining adaptive thresholding and improved particle swarm fusion for linear regression intelligent navigation control is proposed in this paper.Experimental results validate the algorithm's effectiveness in real-time threshold extraction for target images,surpassing traditional methods.The combined algorithm significantly reduces the visual system's dependence on the environment,demonstrating the feasibility of the proposed approach.
万方数据
维普
