Wi-Fi location fingerprint map building method and system based on crowd-sourcing

A fingerprint map and construction method technology, applied in the field of location services, can solve the problems of large workload and poor timeliness of WiFi location fingerprint database data collection, improve timeliness and accuracy, and solve the effects of time-consuming and labor-intensive

Active Publication Date: 2016-01-20
SHENZHEN UNIV
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Problems solved by technology

[0007] In view of the deficiencies of the prior art above, the purpose of the present invention is to provide a crowdsourcing-based WiFi location fingerprint map construction method

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  • Wi-Fi location fingerprint map building method and system based on crowd-sourcing
  • Wi-Fi location fingerprint map building method and system based on crowd-sourcing
  • Wi-Fi location fingerprint map building method and system based on crowd-sourcing

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Embodiment Construction

[0044] The invention provides a crowdsourcing-based WiFi location fingerprint map construction method and system thereof. In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0045] Such as figure 1 Shown is a crowdsourcing-based WiFi location fingerprint map construction method according to a specific embodiment of the present invention. The methods include:

[0046] S1. Obtain relevant crowdsourcing data. The crowdsourcing data refers to multiple different types of sensor data acquired from terminals of several crowdsourcing users. Crowdsourcing refers to a non-selective mode, that is, it includes users of various types and ranges.

[0047] Th...

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Abstract

The invention provides a Wi-Fi location fingerprint map building method and a system based on crowd-sourcing. The method comprises the steps as follows: acquiring relevant crowd-sourcing data; using a dead reckoning approach to calculate the relative motion trajectory of a user based on the crowd-sourcing data; identifying specific behaviors of the user including a plurality of behavior types through machine learning; building a behavior sequence model formed by the types of the specific behaviors in the relative motion trajectory and the relative spatial relationship between the specific behaviors; generating a point-line model of an indoor map, and matching the point-line model with the behavior sequence model through a hidden Markov model to obtain the indoor map coordinate information of the relative motion trajectory; and finally, building a Wi-Fi location fingerprint map based on the indoor location coordinate information and the crowd-sourcing data. The Wi-Fi location fingerprint map is built and updated automatically based on the crowd-sourcing data.

Description

technical field [0001] The invention relates to the technical field of location services, in particular to a crowdsourcing-based WiFi location fingerprint map construction method and a system thereof. Background technique [0002] WiFi location fingerprinting is a commonly used indoor positioning method. This method can use the existing wireless local area network infrastructure, and the positioning can be realized through a smart phone, without the need for users to add additional equipment, so it is the most widely used. [0003] The existing WiFi location fingerprinting method includes two steps of offline fingerprint collection and online positioning. The purpose of offline fingerprint collection is to build a WiFi location fingerprint database for indoor areas. In the offline collection stage, it is necessary to collect data for a period of time at each collection point to improve the quality of the location fingerprint database. In the online positioning stage, the W...

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Application Information

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IPC IPC(8): H04W4/02
CPCH04W4/023H04W4/029
Inventor 李清泉周宝定
Owner SHENZHEN UNIV
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