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A construction method of indoor fingerprint map based on mobile crowd sensing data

A mobile crowd-sensing and fingerprint map technology, applied in instruments, measuring devices, and re-radiation, etc., can solve the problems of large survey projects of fingerprint positioning methods, and achieve the effect of facilitating rapid deployment and reducing survey workload.

Active Publication Date: 2022-04-12
SOUTHWEAT UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an indoor fingerprint map construction method based on mobile crowd sensing data, which solves the problem of huge survey engineering in the existing fingerprint positioning method

Method used

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  • A construction method of indoor fingerprint map based on mobile crowd sensing data
  • A construction method of indoor fingerprint map based on mobile crowd sensing data
  • A construction method of indoor fingerprint map based on mobile crowd sensing data

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Embodiment Construction

[0045] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0046] like figure 1 As shown, a method for building an indoor fingerprint map based on mobile crowd sensing data includes the following steps:

[0047] S1. Collect the user's fingerprint information and dead reckoning information through the mobile terminal, and upload them to the server;

[0048] S2. Analyze the fingerprint information and dead reckoning information through the server to obtain fingerprint similarity and user trajectory data, and use the fingerprint similarity and user trajectory data to construct a "vertex-constraint" graph;

[0049] S3. Optimizing the "vertex-constraint" graph through a graph optimization algorithm to obtain a fingerprint map.

[0050] like figure 2 As shown, the constructio...

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Abstract

The invention relates to an indoor fingerprint map construction method based on mobile crowd sensing data. The invention includes crowd sensing data collection, closed-loop detection and graph construction, and a graph optimization algorithm based on Graph SLAM. Using mobile users in the environment as the perception unit to realize the automatic collection of fingerprint data and user trajectories can reduce the survey workload required for fingerprint positioning, which is conducive to the rapid deployment of fingerprint positioning systems in unknown environments.

Description

technical field [0001] The invention relates to the technical field of indoor fingerprint positioning, in particular to an indoor fingerprint map construction method based on mobile crowd sensing data. Background technique [0002] With the development of the Internet of Things and the demand for location-based service applications, indoor positioning has received more and more attention in recent years. Due to the occlusion of urban buildings, the outdoor positioning technology represented by GPS is no longer available indoors, so people need a convenient, universal and accurate indoor positioning technology solution. In fact, domestic and foreign researchers began to explore indoor positioning more than 20 years ago. Some attempts include deploying specialized hardware devices, such as magnetic markers, infrared, RFID, and laser sensors, at some key locations indoors, and positioning can be achieved by measuring distance or orientation. Although these techniques can prov...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S11/06
CPCG01S11/06
Inventor 刘冉梁高丽李少乾肖宇峰张华何永平张静刘满禄付余路
Owner SOUTHWEAT UNIV OF SCI & TECH
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