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Hidden Markov Assessment Model of Robot Soccer Stadium Situation
Abstract
Assessment model of robot soccer stadium situation based on hidden Markov is a new kind of robot soccer stadium situation assessment model, which is a more practical and specific model. By means of accurate extraction and quantification of the information from robot soccer fields, this study abstractly maps out seven relative situational factors as the original input data of hidden Markov model. Through the use of improved Bauw-Welch calculations, optimize the system parameters of hidden Markov model and the accurate results of robot soccer stadium situation assessment can be obtained. The result of experimental application shows that the assessment model of robot soccer stadium situation based on hidden Markov can well satisfy the real-time and accuracy of requirements of the robot soccer fields, provide valid scientific basis for coping strategies on the golf course, and has an important application value.
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