Affiliation:
1. School of Environment Science and Spatial Informatics China University of Mining and Technology Xuzhou China
2. R&D Department Xuzhou Survey and Mapping Research Institute Co., Ltd Xuzhou China
3. Intelligent Manufacturing College Jiangsu Vocational Institute of Architectural Technology Xuzhou China
4. School of Instrument Science and Engineering Southeast University Nanjing China
Abstract
AbstractIndoor navigation networks serve as the foundation for indoor pedestrian navigation services. However, current graph‐based topological network models cannot easily represent complex indoor structures in a manner consistent with user behaviour and cognitive patterns, and thus cannot support fine‐grained indoor navigation analysis services. To enhance the rationality of the model, we considered the influences of morphological and functional characteristics of indoor spaces on pedestrian movement and proposed a method for classifying navigation spaces. This method, based on convex space segmentation, defines morphological and functional characteristic functions, classifying indoor navigation spaces as either corridors or open spaces, which suitable for representing as median axis models or visual graphs, respectively. These categories supported the creation of topological network models for route planning analysis. Indoor map experiments confirmed the effectiveness of our method in identifying various types of corridors and open spaces, that addressing the limitations of width‐based parameters, even in complex indoor settings.
Funder
National Key Research and Development Program of China
Aeronautical Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)