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Error-predictable adaptive dead reckoning algorithm
Zhou Zhong, Wei Sheng, Zhang Guofeng, Wu Wei*
State Key Laboratory of Virtual Reality Technology and Systems, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� A dead reckoning algorithm was presented which is suitable for first-person shooting games. Avatars- moving directions change frequently and their traces consist of continuous broken lines. According to the features, first order derivative polynomial and linear convergence algorithms were selected for position extrapolation and convergence respectively. Avatar-s moving state was used to predict extrapolation error and adjust convergence procedure dynamically. Extrapolation policy was changed with the distance between avatar and its observer in order to reduce state update packets. Experiment results show that the position extrapolation algorithm can reduce state update packets and deviation of reckoning trace in first-person shooting game.
Keywords�� first-person shooting   position extrapolation   error prediction   dynamic convergence     
Received 2007-09-10;
Fund:

����863�ƻ�������Ŀ(2006AA01Z331);������Ȼ��ѧ����������Ŀ(60603084)

About author: �� ��(1978-),��,���պ�����,������,zz@vrlab.buaa.edu.cn.
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����,κ��,�Ź���,����.�������Ԥ�������Ӧλ�������㷨[J]  �������պ����ѧѧ��, 2008,V34(09): 1070-1075
Zhou Zhong, Wei Sheng, Zhang Guofeng, Wu Wei.Error-predictable adaptive dead reckoning algorithm[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(09): 1070-1075
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