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|Title:||Comparing dead reckoning algorithms for distributed car simulations||Authors:||Chen, Youfu
Liu, Elvis S.
Distributed Virtual Environments
Engineering::Computer science and engineering
|Issue Date:||2018||Source:||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||Abstract:||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.||URI:||https://hdl.handle.net/10356/88476
|DOI:||http://dx.doi.org/10.1145/3200921.3200939||Rights:||© 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).||metadata.item.grantfulltext:||open||metadata.item.fulltext:||With Fulltext|
|Appears in Collections:||IGS Conference Papers|
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|Comparing Dead Reckoning Algorithms for Distributed Car Simulations.pdf||5.44 MB||Adobe PDF|
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