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Indoor positioning method utilizing cross vision

An indoor positioning and cross-vision technology, applied in the field of indoor positioning using cross-vision, can solve the problems of high energy consumption of the locator and affect the accuracy, and achieve the effects of high accuracy, low cost and strong robustness

Inactive Publication Date: 2020-05-15
深圳市守行智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this technology is easily interfered by other signals, which affects its accuracy, and the energy consumption of the locator is also high

Method used

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  • Indoor positioning method utilizing cross vision
  • Indoor positioning method utilizing cross vision
  • Indoor positioning method utilizing cross vision

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Embodiment Construction

[0029] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0030] Taking the airport lobby as a case scenario, the luggage trolley in the lobby is used as an example for indoor positioning targets. As a resource in the airport, if the luggage trolley can accurately provide the location information of the luggage trolley, it will not only save passengers boarding / departing time, Moreover, it can also enable the airport department to manage and utilize luggage trolley resources reasonably and effectively; at the same time, the airport hall, as an indoor environment, has the characteristics of large flow of people, complex environment, and large wireless signal interference. In summary, taking the luggage trolleys in the airport lobb...

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Abstract

The invention relates to the technical field of indoor object positioning, in particular to an indoor positioning method utilizing cross vision. According to the method, a cross overlapping region imaged by two cameras is used as a positioning range, target detection and key point positioning are carried out by using a deep learning algorithm, then targets in the two cameras are matched by using amachine learning method, and finally, multi-target positioning in a visual region is completed according to a target matching result and the distance between the two cameras. The method comprises: S1, performing system deployment; S2, performing coordinate measurement; S3, performing Yolo-v3 target detection, if the Yolo-v3 targets are multiple targets, performing target matching firstly, then performing Landmark positioning, and if the Yolo-v3 targets are not multiple targets, performing Landmark positioning directly; S4, calculating the distance from the target object to each camera; and S5, completing target object positioning through calculation.

Description

technical field [0001] The invention relates to the technical field of indoor object positioning, in particular to an indoor positioning method utilizing cross vision. Background technique [0002] As we all know, with the growth of data services and multimedia service data, people's demand for positioning and navigation is increasing, especially in complex indoor environments, such as frequent halls, exhibition halls, supermarkets, libraries, underground parking lots, etc., often Due to pedestrians coming and going, blocking by large objects such as walls or stone pillars, the signal is suddenly reduced or the signal is interfered, so that the positioning system cannot accurately locate the position of the target. [0003] At present, the commonly used indoor wireless positioning technologies include indoor GPS positioning technology, infrared indoor positioning technology, ultrasonic positioning technology, Bluetooth technology, Wi-Fi technology, etc. The disadvantages are...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20
CPCG01C21/206
Inventor 杨嘉盛廖镜森王亮
Owner 深圳市守行智能科技有限公司