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Crowd sensing multi-source information fusion indoor positioning method and crowd sensing multi-source information fusion indoor positioning system

A multi-source information fusion and indoor positioning technology, applied in the field of multi-source information fusion indoor positioning method and system of crowd sensing, can solve the problems of low accuracy of indoor positioning methods, achieve remarkable technical effects, improve positioning accuracy, reduce The effect of positioning costs

Active Publication Date: 2020-02-28
SHENZHEN INST OF ADVANCED TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a multi-source information fusion indoor positioning method and system based on crowd sensing, so as to at least solve the technical problem of low accuracy of existing indoor positioning methods

Method used

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  • Crowd sensing multi-source information fusion indoor positioning method and crowd sensing multi-source information fusion indoor positioning system

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Embodiment 1

[0055] According to an embodiment of the present invention, a crowd sensing multi-source information fusion indoor positioning method is provided, see figure 1 , including the following steps:

[0056] S101: constructing a fingerprint identification database based on group perception;

[0057] S102: Fuse the collected geomagnetic, WiFi and visual image information and locate the target position based on the constructed fingerprint identification database, wherein the image-based small area determination algorithm IBSM and segmented structure automatic are used in locating the target position The algorithm SSAC is adapted to estimate and adaptively calibrate the target position.

[0058] The multi-source information fusion indoor positioning method of crowd sensing in the embodiment of the present invention adopts a fingerprint recognition technology based on crowd sensing, which has remarkable effects, especially for complex infrastructure. In addition, in order to reduce po...

Embodiment 2

[0095] According to another embodiment of the present invention, a crowd sensing multi-source information fusion indoor positioning system is provided, see Figure 11 ,include:

[0096]A fingerprint recognition database construction unit 100, configured to construct a fingerprint recognition database based on group perception;

[0097] The positioning unit 200 is used to fuse the collected geomagnetic, WiFi and visual image information and locate the target position based on the constructed fingerprint identification database, wherein the image-based small area determination algorithm IBSM and A segmented structure adaptive algorithm SSAC is used to estimate and adaptively calibrate the target position.

[0098] The crowd-sensing multi-source information fusion indoor positioning system in the embodiment of the present invention adopts a fingerprint recognition technology based on crowd-sensing, which has remarkable effects, especially for complex infrastructure. In addition...

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Abstract

The invention relates to a crowd sensing multi-source information fusion indoor positioning method and a crowd sensing multi-source information fusion indoor positioning system. Firstly, a fingerprintidentification database is constructed based on group sensing; the acquired geomagnetic, WiFi and visual image information are fused, and a target position is positioned based on a constructed fingerprint identification database; wherein the target position is estimated and adaptively calibrated using an image-based small region determination algorithm IBSM and a piecewise structure adaptive algorithm SSAC in positioning the target position. According to the method and the system, a fingerprint identification technology based on group perception is adopted, and the technical effect is remarkable. Because the signal intensity of a single information source is unstable, the three information sources are fused to estimate the position of the target. The two algorithms can help the target toquickly determine the indoor small area range or determine the special position of the target and help the target to determine the positioning accuracy or calibrate the range of the target.

Description

technical field [0001] The present invention relates to the field of positioning, in particular, to a multi-source information fusion indoor positioning method and system for crowd sensing. Background technique [0002] The importance of indoor positioning technology is becoming more and more prominent in multiple scenarios such as shopping malls, parking lots, large office buildings, and hospital healthcare. The Global Positioning System (GPS) used for positioning can provide good coverage and high accuracy in outdoor environments, but in indoor environments, GPS signals are severely blocked because satellite signals are blocked by walls and ceilings, so its positioning accuracy is difficult to meet Indoor positioning requirements. Therefore, all available information, such as WiFi, Bluetooth, geomagnetic field, and visual image information, should be used in the indoor positioning system instead of GPS to estimate the target position. [0003] Traditional indoor position...

Claims

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Application Information

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IPC IPC(8): H04W4/021H04W4/33G01C21/20G01C21/00G01S5/02
CPCG01C21/005G01C21/206G01S5/0257H04W4/021H04W4/33
Inventor 赵毓斌李芳敏须成忠
Owner SHENZHEN INST OF ADVANCED TECH
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