Comparing dead reckoning algorithms for distributed car simulations

Dead reckoning is an important technique used in distributed virtual environments (DVEs) to mitigate the bandwidth consumption of frequent state updates and the negative effects of network latency. This paper proposes a novel dead reckoning approach for common DVE applications such as multiplayer on...

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Main Authors: Chen, Youfu, Liu, Elvis S.
其他作者: Interdisciplinary Graduate School (IGS)
格式: Conference or Workshop Item
語言:English
出版: 2019
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在線閱讀:https://hdl.handle.net/10356/88476
http://hdl.handle.net/10220/49837
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spelling sg-ntu-dr.10356-884762020-11-01T04:43:49Z Comparing dead reckoning algorithms for distributed car simulations Chen, Youfu Liu, Elvis S. Interdisciplinary Graduate School (IGS) Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation Multi-plAtform Game Innovation Centre Dead Reckoning Distributed Virtual Environments Engineering::Computer science and engineering Dead reckoning is an important technique used in distributed virtual environments (DVEs) to mitigate the bandwidth consumption of frequent state updates and the negative effects of network latency. This paper proposes a novel dead reckoning approach for common DVE applications such as multiplayer online games. Unlike traditional dead reckoning approaches that estimate the movements of remote entities with pure kinematic models, the new approach performs extrapolations with the considerations of environmental factors and human behaviours. We have performed experiments, based on a distributed car simulator, to compare the the new approach with representative existing dead reckoning approaches. The results show that the new approach gives more accurate predictions with an acceptable overhead. MOE (Min. of Education, S’pore) Accepted version 2019-09-02T06:51:01Z 2019-12-06T17:04:08Z 2019-09-02T06:51:01Z 2019-12-06T17:04:08Z 2018 Conference Paper Chen, Y., & Liu, E. S. (2018). Comparing dead reckoning algorithms for distributed car simulations. Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. doi:10.1145/3200921.3200939 https://hdl.handle.net/10356/88476 http://hdl.handle.net/10220/49837 10.1145/3200921.3200939 en © 2018 Association for Computing Machinery (ACM). All rights reserved. This paper was published in Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation and is made available with permission of Association for Computing Machinery (ACM). 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Dead Reckoning
Distributed Virtual Environments
Engineering::Computer science and engineering
spellingShingle Dead Reckoning
Distributed Virtual Environments
Engineering::Computer science and engineering
Chen, Youfu
Liu, Elvis S.
Comparing dead reckoning algorithms for distributed car simulations
description Dead reckoning is an important technique used in distributed virtual environments (DVEs) to mitigate the bandwidth consumption of frequent state updates and the negative effects of network latency. This paper proposes a novel dead reckoning approach for common DVE applications such as multiplayer online games. Unlike traditional dead reckoning approaches that estimate the movements of remote entities with pure kinematic models, the new approach performs extrapolations with the considerations of environmental factors and human behaviours. We have performed experiments, based on a distributed car simulator, to compare the the new approach with representative existing dead reckoning approaches. The results show that the new approach gives more accurate predictions with an acceptable overhead.
author2 Interdisciplinary Graduate School (IGS)
author_facet Interdisciplinary Graduate School (IGS)
Chen, Youfu
Liu, Elvis S.
format Conference or Workshop Item
author Chen, Youfu
Liu, Elvis S.
author_sort Chen, Youfu
title Comparing dead reckoning algorithms for distributed car simulations
title_short Comparing dead reckoning algorithms for distributed car simulations
title_full Comparing dead reckoning algorithms for distributed car simulations
title_fullStr Comparing dead reckoning algorithms for distributed car simulations
title_full_unstemmed Comparing dead reckoning algorithms for distributed car simulations
title_sort comparing dead reckoning algorithms for distributed car simulations
publishDate 2019
url https://hdl.handle.net/10356/88476
http://hdl.handle.net/10220/49837
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