Research of Dynamic Terrain in Complex Battlefield Environments

In this paper, we present a novel method for dynamic terrain in battlefield and an efficient plan to simulate crater in the battle. We explore a few methods for dynamic terrain surface, and analyze the different recent algorithms for representation and visualization of multiresolution static terrain, then select ROAM (Real-Time Optimally Adapting Meshes) as our basis to be improved and to be applicable in dynamic terrain projects. We further select half-ellipsoid model in the explosion theory as the physical based model of crater, and provide a procedural texture generation algorithm for crater, then give a hybrid multiresolution algorithm for dynamic terrain. At last the implementation results prove that the method and the algorithm are feasible and efficient.

• Type: Conference
• Year: 2006
• Where: EDUTAINMENT
• Authors: Xingquan Cai, Fengxia Li, Haiyan Sun, Shouyi Zhan
• Keywords: Dynamic Terrain, Dynamic Terrain Surface, EDUTAINMENT 2006, Machine Learning, Multiresolution Static Terrain