云平台ROIA中基于目标预测的DR算法
发布时间：2018-11-07 17:10
【摘要】：为提高航位推算(DR)算法预测的准确度,提出了一种基于目标预测的改进DR算法,该算法首先根据角色当前状态下实际应用中不同物品对角色的吸引力大小预测出其前进目标,然后结合实际运动惯性计算出预测轨迹.仿真实验结果表明,文中所提出算法的预测准确度优于传统的DR算法,该算法对构建云平台下的实时在线交互应用系统研究有较好的参考价值.
[Abstract]:In order to improve the prediction accuracy of (DR) algorithm, an improved DR algorithm based on target prediction is proposed. The algorithm first predicts the forward target of the role according to the attraction of different items to the character in the current status of the role, and then calculates the predicted trajectory according to the actual motion inertia. The simulation results show that the prediction accuracy of the proposed algorithm is better than that of the traditional DR algorithm, and this algorithm has a good reference value for the research of real-time online interactive application system under cloud platform.
【作者单位】： 华南理工大学计算机科学与工程学院;暨南大学计算机科学系;广东科学技术职业学院计算机工程技术学院;
【基金】：广东省科技计划项目(2010B060100056) 广东省自然科学基金资助项目(S2012010008831) 广州市科技计划项目(2010Y0-C681)
【分类号】：TP393.09
[Abstract]:In order to improve the prediction accuracy of (DR) algorithm, an improved DR algorithm based on target prediction is proposed. The algorithm first predicts the forward target of the role according to the attraction of different items to the character in the current status of the role, and then calculates the predicted trajectory according to the actual motion inertia. The simulation results show that the prediction accuracy of the proposed algorithm is better than that of the traditional DR algorithm, and this algorithm has a good reference value for the research of real-time online interactive application system under cloud platform.
【作者单位】： 华南理工大学计算机科学与工程学院;暨南大学计算机科学系;广东科学技术职业学院计算机工程技术学院;
【基金】：广东省科技计划项目(2010B060100056) 广东省自然科学基金资助项目(S2012010008831) 广州市科技计划项目(2010Y0-C681)
【分类号】：TP393.09
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