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Automatic Navigation Algorithm in Virtual Complex Indoor Scenes

机译:虚拟复杂室内场景中的自动导航算法

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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.
机译:为了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。该算法将Dijkstra算法用于复杂室内场景图的路径规划,并将自适应矢量长度算法用于Bezier曲线控制点以平滑路径。指出室内场景的路径规划是一个加权且无方向的图的最短路径问题。本文通过Dijkstra算法给出了最短路径搜索的步骤。为了消除视觉抖动现象并增强导航时的沉浸感,本文采用贝塞尔曲线对路径进行平滑处理。根据路径包含的角度和节点之间的距离,提出了曲线控制点的自适应矢量长度算法。最后,给出了一个有关船舶机舱虚拟场景导航系统的例子。本文给出的算法在复杂的室内场景导航中被证明具有重要意义。

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