The Fusion Method of Improvement Bayes for Soccer Robot Vision System

Aiming at the data deviation of target location in the game ground, which caused by external factors such as area light, vibration in soccer robot vision system, a fusion method of Grubbs criterion and Bayes theory is presented, and the fusion theory in soccer robot vision system is studied. Firstly, the criterion of Grubbs was used to preprocess the negligent error of wireless data in soccer robot vision system, then these data are fused by Bayes theory, lastly, through many times simulation and verification, the deviation inhibition effect and general evaluation is given by comparison.