Grid model based PDR indoor positioning method and system

An indoor positioning and grid technology, applied in the computer field, can solve problems such as inability to accurately locate and further calculate, achieve the effects of fine and rich topology and semantic information, reduce complexity, and eliminate positioning errors

Inactive Publication Date: 2016-05-25
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
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Problems solved by technology

[0004] The embodiment of the present invention provides a grid model-based PDR indoor positioning method and system, which solves the technical problem that cann

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  • Grid model based PDR indoor positioning method and system
  • Grid model based PDR indoor positioning method and system
  • Grid model based PDR indoor positioning method and system

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Embodiment Construction

[0047] Embodiments of the present invention provide a grid model-based PDR indoor positioning method and system, which solves the technical problem in the prior art that precise positioning and further calculation cannot be performed, and achieves the technical effect of enabling precise positioning and further calculation.

[0048] The technical solution in the embodiment of the present invention is to solve the above-mentioned technical problems, and the general idea is as follows:

[0049] see figure 1 The positioning method and system provided by the embodiments of the present invention combine the PDR method and the grid model through enhanced grid filtering, and use the geometric, topological and semantic information expressed by the grid model to constrain the movement of pedestrians, thereby improving the positioning of the PDR method precision. In addition, since the grid model is very suitable for recalculation, further position calculation can also be realized.

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Abstract

The invention discloses a grid model based PDR indoor positioning method and system. The grid model based PDR indoor positioning method comprises the following steps that 1, a grid model of a positioning area is established; the movement trend of a positioning target is obtained; the grid prior probabilities are calculated based on the position information of a target to be positioned at a previous moment and the movement trend at the current moment; the grid prior probabilities are screened according to the semantics and topological characteristics of the grid model to obtain posteriori probabilities of to-be-positioned target position candidate cells, and accordingly positioning is achieved according to the position information, re-calculated based on the grid model, of the target to be positioned at the t moment and the movement trend, re-calculated based on the grid model M, of the target to be positioned at the t moment. The technical problem that accurate positioning and further calculation cannot be achieved in the prior art is solved, and the technical effects of accurate positioning and further calculation are achieved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a grid model-based PDR indoor positioning method and system. Background technique [0002] In today's society, miniaturization or miniaturization has become the development trend of computers, and various small computing devices (such as: handheld computers, mobile phones, sensors, radio frequency tags, etc.) New location-aware technologies and service models are emerging. People spend most of their time in indoor spaces (such as office buildings, shopping malls, subway stations, etc.), and an accurate, reliable, and pervasive indoor positioning system has become the key to many mobile applications. With the continuous emergence of new mobile computing models such as pervasive computing, Internet of Things, and mobile social networks, location information is becoming more and more important. Although the traditional global navigation satellite positioning system technology re...

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Application Information

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IPC IPC(8): G01C21/20H04W64/00
CPCH04W64/006G01C21/206
Inventor 尚建嘎胡旭科程稳
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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