摘要
针对机器人足球赛场态势评估问题,提出一种基于隐马尔可夫模型(HMM)的机器人足球赛场态势评估模型。通过对赛场信息进行提取和量化,抽象出7个相关态势因素,作为HMM模型的输入数据。通过采用改进的Bauw-Welch算法优化HMM的参数,从而获得赛场态势评估结果。实验结果表明,所提出的方法能较好地满足赛场实时性和准确性的要求,可以为球场上对应策略的变更提供及时、可靠的依据。
For robot soccer stadium situation assessment problem,a novel model of robot soccer stadium situation assessment based on the Hidden Markov Model(HMM) is proposed.First,seven key factors through the characteristics of game environment as the inputs of HMM are abstracted.And then the parameters of HMM using the improved Bauw-Welch algorithm based on the existing experimental database are optimized.Finally,the result of the model is got.The experiment result shows model can satisfy real-time and accuracy demands and provide timely and reliable references for the change of the corresponding strategy for current soccer situation.
出处
《科学技术与工程》
北大核心
2012年第4期789-793,共5页
Science Technology and Engineering
