首页|基于实景定位的文化旅游智能导航交互系统研究

基于实景定位的文化旅游智能导航交互系统研究

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为进一步提升景区游客的游览体验,提出一种基于混合注册技术的文化旅游实景导览交互系统.其中,在进行系统模块设计的基础上,将基于Kalman Filter算法、DBSCAN聚类算法进行GPS定位算法的设计,并对DBSCAN聚类算法进行改进,以进一步提升定位精度.结果表明,构建的基于Kalman Filter和改进DBSCAN聚类组合的GPS定位算法能够对位置数据进行准确的分类处理,得到准确的位置;与其他定位算法相比,本设计的定位算法具有更高的定位精度,在东西向、南北向以及3D视角下的误差仅为4.83 m、4.92 m、9.56 m.综上,构建基于视觉传达设计的文化旅游实景导览交互系统性能良好,具有较高的定位精度,能够应用于实际的景观导览,提升游客游览体验.
Research on Cultural Tourism Intelligent Navigation Interaction System Based on Realistic Positioning
In order to further enhance the tourism experience of tourists in scenic areas,a cultural tourism real scene guidance in-teractive system based on hybrid registration technology is proposed.On the basis of system module design,the GPS positioning algo-rithm will be designed based on the Kalman Filter algorithm and DBSCAN clustering algorithm,and the DBSCAN clustering algorithm will be improved to further improve positioning accuracy.The results show that the GPS positioning algorithm based on the combina-tion of Kalman Filter and improved DBSCAN clustering can accurately classify and process position data,and obtain accurate posi-tions;Compared with other positioning algorithms,the designed positioning algorithm has higher positioning accuracy,with errors of only 4.83 m,4.92 m,and 9.56 m in east-west,north-south,and 3D perspectives.In summary,the construction of a cultural tourism live tour interactive system based on visual communication design has good performance,high positioning accuracy,and can be applied to practical landscape guidance to improve tourists'travel experience,with high feasibility.

cultural tourismrealistic tourGPS positioningkalman filter algorithmDBSCAN clustering algorithm

刘慧

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武汉东湖学院,武汉 430212

文化旅游 实景导览 GPS定位 Kalman Filter算法 DBSCAN聚类算法

湖北省高等学校优秀中青年科技创新团队

T2020037

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(6)
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