云平台ROIA中基于目标预测的DR算法

Goal Prediction-Based Dead Reckoning Algorithm on ROIA Cloud Platform

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.

In order to improve the prediction accuracy of the dead reckoning （DR） algorithm,an improved DR algorithm is proposed based on goal prediction.The algorithm first predicts the goal of avatar according to the calculated attractiveness degrees of materials to avatar,and then calculates its trajectory by combining the actual movement.Simulation results show that the improved DR algorithm is superior to the traditional DR algorithm in terms of prediction accuracy,and that it provides a reference for the construction of the ROIA （Real-time Online Interactive Application） cloud platform.