Goal prediction-based dead reckoning algorithm on ROIA cloud platform

被引：0
作者：
机构：
[1] School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, Guangdong
[2] Department of Computer Science, Jinan University, Guangzhou 510632, Guangdong
[3] Computer Engineering Technical College, Guangdong Institute of Science and Technology, Zhuhai 519090, Guangdong
来源：
Liu, D. (wze2k@163.com) | 2013年 / South China University of Technology卷 / 41期
关键词：
Cloud computing; Dead reckoning algorithm; Goal prediction; Real-time online interactive application;
D O I：
10.3969/j.issn.1000-565X.2013.09.014
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：82 / 86
页数：4
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