测绘通报 ›› 2021, Vol. 0 ›› Issue (4): 79-84,104.doi: 10.13474/j.cnki.11-2246.2021.0115

• 学术研究 • 上一篇    下一篇

室内楼层平面导航路网模型的自动生成

李华蓉, 彭映雪, 李海明   

  1. 重庆交通大学土木工程学院, 重庆 400074
  • 收稿日期:2020-11-26 修回日期:2021-02-15 出版日期:2021-04-25 发布日期:2021-04-30
  • 作者简介:李华蓉(1980-),女,博士,副教授,主要研究方向为地图学与地理信息系统。E-mail:373475100@qq.com
  • 基金资助:
    重庆市教育委员会科学技术研究项目(KJ1600530);重庆交通大学研究生教育创新基金(2019S0140)

Automatic generation of road network model for indoor floor plane navigation

LI Huarong, PENG Yingxue, LI Haiming   

  1. School of Architecture and Construction, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2020-11-26 Revised:2021-02-15 Online:2021-04-25 Published:2021-04-30

摘要: 室内路网模型作为室内导航研究的基础,如何自动生成室内路网模型成为近年的研究热点。对于目前自动路网模型研究中出现的复杂环境适应度不够的问题,本文提出了一种室内楼层平面路网模型的自动提取方法。它将室内空间分为公共空间和专属空间两类,从而形成公共空间路径和专属空间路径,并用转换点将两类路径进行衔接;最终利用提取的公共空间路径、专属空间路径和连接路径构成楼层平面导航路网模型。基于此方法,将某学校教学楼一层建筑平面图生成平面自动路网模型,并从路径完整度、准确度及寻路情况3个方面与手动路网模型进行了对比分析,其表现良好。

关键词: 室内平面路网, 室内空间分类, 约束狄洛尼三角剖分, 室内导航, 自动提取

Abstract: Indoor road network model is the basis of indoor navigation research. How to automatically generate indoor road network model has become a research hotspot in recent years. In order to solve the problem of insufficient adaptability of complex environment in the research of automatic road network model, an automatic extraction method of indoor floor plane road network model is proposed. It divides indoor space into public space and exclusive space, thus forming public space path and exclusive space path, and connecting the two kinds of paths with transition points. Finally, the public space path, the exclusive space path and the connection path constitute the floor plane navigation network model. Based on this method, the planar automatic road network model is generated from the building plan of the first floor of a teaching building in a school, and compared with the manual road network model in three aspects of path integrity, accuracy and wayfinding, and the performance of the model is good.

Key words: indoor plan path, indoor space classification, constrained delaunay triangulation, indoor navigation, automatic extraction

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