| BIE Haoze(别昊泽)* **,QIN Danyang* **,YANG Jiaqiang* **,LI Sitong*.[J].高技术通讯(英文),2025,31(2):164~174 |
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| Research on indoor positioning and navigating technology based on scale hierarchical visual image feature matching |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 02. 006 |
| 中文关键词: |
| 英文关键词: visual feature, scale hierarchy, feature matching, indoor positioning, indoor navigation |
| 基金项目: |
| Author Name | Affiliation | | BIE Haoze(别昊泽)* ** | (* College of Electronic Engineering, Heilongjiang University, Harbin 150080, P. R. China)
(** National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, P. R. China) | | QIN Danyang* ** | | | YANG Jiaqiang* ** | | | LI Sitong* | |
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| 中文摘要: |
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| 英文摘要: |
| The impact of location services on people’ s lives has grown significantly in the era of widespread smart device usage. Due to global navigation satellite system (GNSS)signal rejection, weak signal strength in indoor environments and radio signal interference caused by multiwall environments, which collectively lead to significant positioning errors, vision-based positioning has emerged as a crucial method in indoor positioning research. This paper introduces a scale hierarchical matching model to tackle challenges associated with large visual databases and high scene similarity, both of which will compromise matching accuracy and lead to prolonged positioning delays. The proposed model establishes an image feature database using GIST features and speeded up robust feature (SURF) in the offline stage. In the online stage, a positioning navigating algorithm is constructed based on Dijkstra’s path planning. Additionally, a corresponding Android application has been developed to facilitate visual positioning and navigation in indoor environments. Experimental results obtained in real indoor environments demonstrate that the proposed method significantly enhances positioning accuracy compared with similar algorithms, while effectively reducing time overhead. This improvement caters to the requirements for indoor positioning and navigation, thereby meeting user needs. |
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