Self-localization method and system of robot

An autonomous positioning and robot technology, applied in the field of artificial intelligence, can solve the problems of light sensitivity, accumulated running error, scene limitations, etc., and achieve the effect of low hardware requirements, strong practicability, and a wide range of applicable scenarios.

Active Publication Date: 2019-03-22
广州市申迪计算机系统有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

It solves the problems of light sensitivity, running cumulative error and scene limitation in the above positioning me

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  • Self-localization method and system of robot
  • Self-localization method and system of robot
  • Self-localization method and system of robot

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrate...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to a self-localization method and system of a robot. The self-localization method comprises the following steps:acquiring indoor video stream data, and constructing a network data set based on the indoor video stream data; acquiring a first image group comprising a fixed marker; acquiring a second image group matched with the first image group from the network data set by using a trained preset twin network; matching identical fixed markers in the first image group and the second image group to take the identical fixed markers as feature markers; acquiring position parameters of the feature markers; calculating a position of the robot based on the position parameters of the feature markers, wherein thefixed markers at least comprise a door, a window, a vertical column, a cross beam and a wall body. The multimode fused self-localization method of the robot has a low requirement for hardware, reducesthe cost and improves the indoor localization accuracy, is non-sensitive to dynamic changes of a scene and the light intensity, and is high in scene adaptability.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a robot autonomous positioning method and system. Background technique [0002] With the development of technological fields such as communications and electronics, robots have gradually penetrated from industrial services to social services, medical rehabilitation, and home use. However, there are still many technical bottlenecks. One of the problems that needs to be solved is the precise positioning of robots. Positioning is the ability of the robot to perceive the physical space of the surrounding environment, and it is the basis for the robot to realize intelligent services. In practical applications, the robot needs to adapt to different work scenarios, quickly identify the surrounding environment by capturing information, and make precise positioning. [0003] The current mainstream robot positioning methods mainly include multi-sensor fusion positioning, la...

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Application Information

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IPC IPC(8): G01C21/20G01S17/89G06T7/11G06T7/60G06T7/73
CPCG01C21/206G01S17/89G06T7/60G06T2207/10016G06T7/11G06T7/73
Inventor 冯梦思朱汝维
Owner 广州市申迪计算机系统有限公司
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