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Regional positioning method combining SLAM technology with deep learning

A deep learning and regional positioning technology, applied in the field of image recognition and regional positioning, can solve the problems of high maintenance cost, low positioning accuracy, complex network deployment, etc., and achieve the effect of wide coverage, high positioning accuracy and high practical value.

Active Publication Date: 2021-01-22
大连理智科技有限公司 +1
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

For example, the hotspots of wifi positioning are greatly affected by the surrounding environment, the positioning accuracy is low and the maintenance cost is high; the RFID positioning coverage is small, and there is no communication capability; the ultra-wideband positioning technology is expensive, and the network deployment is complicated, etc.

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  • Regional positioning method combining SLAM technology with deep learning
  • Regional positioning method combining SLAM technology with deep learning
  • Regional positioning method combining SLAM technology with deep learning

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Embodiment Construction

[0024] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.

[0025] A specific instance of SLAM technology combined with deep learning area positioning method applied in the factory:

[0026] The first step is to install a base station in a factory with a length of 90m and a width of 30m. The base station can receive the signal strength of the target in the area. According to the size of the factory and the actual situation, the positioning area is divided into three small areas, and according to a certain interval Divide the sampling points, and then put an instrument capable of obtaining signal strength on the target to be tested. Finally, each signal strength is collected at the sampling points in the three areas, and the collected RSSI values ​​are recorded and saved.

[0027] The second step is to select the first small area among the three small areas, install...

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Abstract

The invention belongs to the technical field of image recognition and region positioning, and provides a region positioning method combining an SLAM technology with deep learning. Due to the fact thatsatellite signals are shielded and interfered by buildings, so the signals are attenuated seriously, and effective positioning cannot be realized in some regions, but by using the method, the effective positioning of the target can be realized in the regions. The method provided by the invention overcomes some defects of the existing indoor positioning technology. The SLAM technology is adopted and deep learning is combined to position a target, so the positioning precision is higher, the coverage range is wider, the cost is lower, and the practical value is higher; and the visual SLAM technology is a positioning mode based on computer vision, so that not only is a huge calculated amount required, but also the positioning has certain delay, and the two problems can be well solved by the method.

Description

technical field [0001] The invention belongs to the technical field of image recognition and regional positioning, and relates to a positioning method for obtaining positioning coordinates in a certain area by means of deep learning. Background technique [0002] SLAM is the abbreviation of Simultaneous Localization and Mapping. Its name is translated as "simultaneous positioning and map construction. It means that in the case of unknown environmental information, through the specified sensor, the environmental information is continuously constructed during the movement process, and its own position is estimated at the same time. ; when a camera is used as a sensor, it is called "visual SLAM". [0003] Deep learning is a new field of machine learning research, and its concept originated from the research of artificial neural networks. By constructing a neural network that simulates the human brain for analysis and learning, it imitates the mechanism of the human brain to in...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W4/02G06N3/08G06N3/04G06K9/62
CPCH04W64/00H04W4/023G06N3/08G06N3/045G06F18/24
Inventor 冷阳牟海涛唐琪康斌
Owner 大连理智科技有限公司
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