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An Indoor Localization Method Based on Salient Feature Recognition

A feature recognition and indoor positioning technology, applied in the re-radiation of electromagnetic waves, instruments, navigation and other directions, can solve problems such as weak GPS positioning signals, and achieve the effect of narrowing the search range, improving accuracy and ensuring real-time performance.

Active Publication Date: 2022-04-19
SHANDONG INSPUR SCI RES INST CO LTD
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AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the present invention proposes an indoor positioning method based on salient feature recognition, which solves the problem of weak indoor GPS positioning signals and improves the accuracy of indoor positioning

Method used

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  • An Indoor Localization Method Based on Salient Feature Recognition
  • An Indoor Localization Method Based on Salient Feature Recognition

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing, content of the present invention is set forth in more detail:

[0031] Such as figure 1 As shown in , use a high-definition camera to collect indoor panoramic images, and complete the distance measurement with the point cloud data of the lidar. Based on the panoramic map, the salient features are identified, the image is segmented, and then the real-scene shooting images of the actual mobile camera equipment in different time periods are used to perform the distance measurement. Calibrate and process to form a panoramic positioning model rule library, compress the model and rule library, and place them in a mobile smart device with a camera function; the mobile smart device shoots multiple real scenes in different directions at a fixed point, performs image matching, and extracts The spatial structure information of the image is cross-referenced and positioned. In addition, mobile smart devices can also use wifi, bluetoot...

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Abstract

The invention provides an indoor positioning method based on salient feature recognition, which relates to the technical fields of salient target detection, deep learning and indoor positioning. The salient features of the image are trained, corrected and processed through a large number of real-scene images to form a model, and finally the real-scene photos taken by smart devices are used for image matching to extract spatial structure data to achieve precise positioning. It solves the problem of weak indoor GPS positioning signal, and eliminates the influence of dynamic object movement, ensures the real-time performance of real-scene image scenes, improves the accuracy of image recognition, and then improves the accuracy of indoor positioning.

Description

technical field [0001] The present invention relates to salient target detection, deep learning and indoor positioning technology, in particular to an indoor positioning method based on salient feature recognition. Background technique [0002] With the development of strong applications such as precision marketing and indoor navigation services, indoor positioning has attracted more and more attention. There are a large number of application cases in various indoor scenarios such as airports, railway stations, shopping malls, factories, and schools. Indoor positioning refers to the position positioning in the indoor environment. Due to the limitation of the environment, outdoor smart phones can easily achieve positioning using GPS sensors. However, when entering indoors, smart devices often cannot receive GPS signals, and it is difficult to achieve accurate positioning. . [0003] At present, the traditional indoor method in the industry is to use indoor WiFi, Bluetooth, R...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/20G01S17/08
CPCG01C21/206G01S17/08
Inventor 孙善宝徐驰于治楼
Owner SHANDONG INSPUR SCI RES INST CO LTD
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