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在研究静态环境的路径规划与导航算法的基础上,提出将人工智能领域A-Star算法引入静态室内路径规划中的解决方案。阐述了A-Star的算法原理与实现流程,给出了A-Star算法应用于静态室内路径规划关键问题的处理方法,并开发一款基于智能手机平台的A-Star算法在静态室内地图路径规划应用中的应用APP软件。研究结果表明,改进的A-Star算法可以很好地应用于静态室内路径的规划,可大幅提高A-Star算法在室内导航定位中的运算速度和效率。
Based on the research of path planning and navigation algorithms in static environment, a solution to introduce A-Star algorithm in the field of artificial intelligence into static indoor path planning is proposed. A-Star algorithm principle and implementation process are expatiated. A-Star algorithm is applied to deal with the key problem of static indoor path planning. A-Star algorithm based on smart phone platform is developed in static indoor map path planning Application of the application of APP software. The results show that the improved A-Star algorithm can be well applied to the planning of static indoor path, which can greatly improve the speed and efficiency of A-Star algorithm in indoor navigation and positioning.