收稿日期: 2012-10-16
修回日期: 2013-03-05
网络出版日期: 2013-08-01
基金资助
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)
Goal Prediction- Based Dead Reckoning Algorithm on ROIA Cloud Platform
Received date: 2012-10-16
Revised date: 2013-03-05
Online published: 2013-08-01
Supported by
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)
刘冬 赵跃龙 曾文英 . 云平台 ROIA 中基于目标预测的 DR 算法[J]. 华南理工大学学报(自然科学版), 2013 , 41(9) : 82 -86 . DOI: 10.3969/j.issn.1000-565X.2013.09.014
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 calcu-lated attractiveness degrees of materials to avatar,and then calculates its trajectory by combining the actual move-ment.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.
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