The research on motion planning of a virtual agent is very important in computer animation, where path planning is the most representative. In this paper we do an in-depth study about the problem of static and global path planning for three-dimensional virtual animals in the marine environment, constructed the path planning strategy of a fast randomized algorithm. First of all, we carry out a pre-processing on the environment, proposed the new partial random sampling strategy and the sequential connecting strategy, which to generate "roadmap" of three-dimensional free space. And then, we put forward a driven step by step inquiring strategy, analyzed two feature-parameters and time complexity of the inquiring strategy. Finally, the simulation experiments show the effectiveness of algorithm in solving the issue of static and global path planning in three-dimensional. © 2011 Springer-Verlag.
CITATION STYLE
Wu, D., Ban, X. J., Lei, X. M., Gao, P., & Jin, T. (2011). Research on static global path-planning algorithm of virtual animal in the three-dimensional space. In Communications in Computer and Information Science (Vol. 158 CCIS, pp. 327–333). https://doi.org/10.1007/978-3-642-22694-6_46
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