虚拟复杂室内场景中的自动导航算法

Zeng Hong, Zhang Jundong, Jiang Ruizheng, Feng Jinhong
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摘要

为满足虚拟复杂室内场景中高效自动导航的需求,提出了一种自动导航算法。该算法采用Dijkstra算法对复杂室内场景图进行路径规划,采用Bezier曲线控制点自适应向量长度算法对路径进行平滑处理。指出室内场景的路径规划是一个加权无方向图的最短路径问题。本文给出了用Dijkstra算法进行最短路径搜索的步骤。为了消除视觉抖动现象,增强导航时的沉浸感,本文采用Bezier曲线平滑路径。根据路径包含的角度和节点之间的距离,提出了一种自适应的曲线控制点矢量长度算法。最后,给出了船舶机舱虚拟场景导航系统的实例。该算法在复杂的室内场景导航中具有较好的效果。
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Automatic Navigation Algorithm in Virtual Complex Indoor Scenes
To meet the demand for efficient automatic navigation in virtual complex indoor scenes, this paper presents an automatic navigation algorithm. The algorithm uses Dijkstra algorithm for path planning on complex indoor scenes graph, and uses the adaptive vector length algorithm for Bezier curve control point to smooth the path. The paper indicates that path planning in indoor scene is a weighted and non oriented graph's shortest path problem. The paper gives the shortest path searching step by Dijkstra algorithm. In order to eliminate the vision dither phenomenon and enhance the immersed feeling during navigation, the paper uses Bezier curve to smooth path. According to the path included angle and distance between nodes, the paper proposes an adaptive vector length algorithm for curve control point. Finally, an example about marine engine room virtual scene navigation system was given. The algorithm given in this paper was demonstrated to be significant in complex indoor scene navigation.
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