Name
Abstract | ||
|---|---|---|
An indoor navigation network, simplified from complex building structures, is of primary importance for indoor navigation. Methods for generating such networks are becoming increasingly important as buildings are becoming larger and more complex. However, studies based on the geometry and topology of indoor spaces do not sufficiently account for the key and decision nodes of human wayfinding. This is mainly because the visible perception of pedestrians regarding the corridor path structure is not taken into consideration. In this study, we first propose the indoor visibility map (IVM), calculate the visibility of corridor space, and analyze the relationship between different types of corridors and quantitative visibility parameters of IVM. Based on the visibility analysis, corresponding network construction strategies are suggested for different types of indoor corridors that contain nodes and edges. The experimental results show that the proposed network identifies key locations in the corridor structure that have a decisive role in navigation. Furthermore, the network is simplified to some extent. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1080/13658816.2019.1664741 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE |
Keywords | Field | DocType |
Indoor corridor space, navigation network, indoor visibility map, indoor path structure, feature nodes | Data mining,Computer science,Real-time computing,Visibility map | Journal |
Volume | Issue | ISSN |
34 | 1 | 1365-8816 |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yueyong Pang | 1 | 1 | 0.41 |
| Liangchen Zhou | 2 | 8 | 2.93 |
| Bingxian Lin | 3 | 9 | 2.95 |
| Guonian Lv | 4 | 1 | 0.41 |
| Chi Zhang | 5 | 16 | 5.34 |