Real-time Rendering of Large-scale River in Inland River Ship Simulator

Abstract

Abstract: To improve the reality of river visual in inland river ship simulator, a method of rendering large scale river which could be applied for inland river ship simulator was proposed. The river flowing field was built though the conception of stream function, and the algorithm of Poisson disk sampling was used to control the distribution of river flowing field. This could balance the relationship between efficiency and effect of river surface. The parallelism and programmability of GPU was adopt to render river surface. The results show the river flowing field generated by algorithm of stream function can reflect the mobility of river, and the algorithm of Poisson disk sampling can control river surface efficiently. GPU is used for rendering of river that can realize real time rendering of large scale river, and improve the reality of environment of inland river ship simulator.

Key words: ship simulator, river, large-scale, real-time, GPU

CLC Number:

TP391.9

Zhai Xiaoming, Yin Yong, Shen Helong. Real-time Rendering of Large-scale River in Inland River Ship Simulator[J]. Journal of System Simulation, 2016, 28(9): 2023-2028.

References 12

[1]	翟小明, 尹勇, 神和龙, 等. 内河船舶模拟器中河流的绘制方法综述[J]. 中国航海, 2014, 37(3): 41-45, 126.
[2]	翟小明, 尹勇, 神和龙, 等. 内河船舶模拟器中基于过程法的河流仿真[J]. 系统仿真学报, 2014, 26(9): 2189-2193.
[3]	Chen J X, Lobo N D V. Toward interactive-rate simulation of fluids with moving obstacles using Navier-Stokes equations[J]. Graphical Models and Image Processing (S1090-2481), 1995, 57(2): 107-116.
[4]	Layton A T, van de Panne M. A numerically efficient and stable algorithm for animating water waves[J]. The Visual Computer (S0178-2789), 2002, 18(1): 41-53.
[5]	Losasso F, Gibou F, Fedkiw R.Simulating water and smoke with an octree data structure[C]// ACM Transactions on Graphics (TOG). USA: ACM, 2004, 23(3): 457-462.
[6]	Andreas M.Fluid simulation on the gpu with complex obstacles using the lattice Boltzmann method [D]. Austria: Institute of Computer Graphics and Algorithms, Vienna University of Technology, 2008.
[7]	Mahdizadeh H, Stansby P K, Rogers B D.On the approximation of local efflux/influx bed discharge in the shallow water equations based on a wave propagation algorithm[J]. Clinical Therapeutics (S0271-2091), 2015, 25(6): 1578-1592.
[8]	Yu Q, Neyret F, Bruneton E, et al.Scalable real-time animation of rivers [C]// Computer Graphics Forum. USA: Blackwell Publishing Ltd, 2009, 28(2): 239-248.
[9]	Sena D, Pereira J, Costa V.Physics-based Water Interaction and Shading: the SiViFlow Algorithm[C]// WSCG, 2013. Plzen, Czech Republic, WSCG, 2013: 49-60.
[10]	Rui X, Song X, Ju Y, et al.Flow Adaptive Simulation of Dynamic Water Body Based on River Velocity Field[J]. Przegląd Elektrotechniczny (S0033-2097), 2013, 89(3b): 221-227.
[11]	翟小明, 尹勇, 神和龙. 内河船舶模拟器中河流流动效果模拟[J]. 大连海事大学学报, 2016, 42(1): 13-16.
[12]	Bridson R.Fast Poisson disk sampling in arbitrary dimensions[C]// ACM SIGGRAPH. USA: ACM, 2007.

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