Optimization algorithm based on image matching indoor positioning

An optimization algorithm and indoor positioning technology, which is applied in the field of optimization algorithm based on image matching indoor positioning, can solve the problems of long time, harsh time response of user positioning, etc., and achieve the effect of improving accuracy and saving costs

Inactive Publication Date: 2015-09-09
孙思宇
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AI Technical Summary

Problems solved by technology

[0005] However, due to large shopping malls or large indoor areas, it takes a long time to traverse the feature images of each store or sample for matching, but the user's time response to positioning is very demanding.

Method used

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  • Optimization algorithm based on image matching indoor positioning
  • Optimization algorithm based on image matching indoor positioning
  • Optimization algorithm based on image matching indoor positioning

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0025] Such as figure 1 Shown, a kind of optimization algorithm based on image matching indoor positioning is characterized in that: comprises the following steps:

[0026] (1) Take store samples: Wifi coverage radius is 10-15 meters, and take 6 store samples within the wifi coverage area;

[0027] (2) Store photos: Take three reference pictures for each store, including left view, front view, and right view;

[0028] (3) Store number: number the reference picture of each store;

[0029] (4) Binding wifiMAC address and store pictures: Bind each wifiMAC address with 18 picture numbers of 6 stores covered by the wifi;

[0030] (5) Establish a database: establish a database (identification information base, such as figure 2 Shown), store wifi information, wifi corresponding picture serial number, picture information;

[0031] (6) Take the wifi with the str...

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Abstract

The invention discloses an optimization algorithm based on image matching indoor positioning, including the following steps: (1) picking store samples; (2) taking a photo of each store; (3) numbering the stores; (4) binding wifiMAC addresses and store images; (5) establishing a database; (6) selecting wifi with the strongest signals; and (7) carrying out image matching traversal. Compared with the prior art, the advantages of the optimization algorithm of the invention lie in that the scope of image matching is narrowed through wifi strength detection, so that unnecessary image matching operation is reduced, and time and cost are reduced; the wifi strength provides assistance, and the influence of unstable factors of wifi strength on positioning is avoided; and the time and cost of positioning are reduced, the stability of positioning is improved, and the optimization algorithm is effective and practical in a mobile platform segment.

Description

technical field [0001] The invention relates to an optimization algorithm for indoor positioning based on image matching. Background technique [0002] Currently, existing indoor positioning includes wifi three-point positioning and image matching positioning. [0003] Among them, the wifi strength positioning adopts the signal strength vectors from each access point AP detected by different types of mobile terminals at various indoor locations; according to the fuzzy clustering algorithm, the received signal strength vectors are clustered; according to the clustering results Divide the APs corresponding to each type of mobile terminal at each indoor location point into stable APs and problematic APs; the filtering algorithm calculates the signal strength of different power signals transmitted by the same stable AP detected multiple times by different types of mobile terminals at the same indoor location clustering median value, and form a plurality of relationship curves a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/22
Inventor 孙思宇张望卓秋生丁一
Owner 孙思宇
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