Light supplementing method and device for sweeping robot

A sweeping robot and light supplement technology, which is applied in the field of sweeping robots, can solve the problem of not being able to accurately determine the supplementary light area of ​​the sweeping robot, and achieve the effect of intelligent work of the sweeping robot, reducing power consumption, and reducing power consumption
CN111182174AActive Publication Date: 2020-05-19GREE ELECTRIC APPLIANCES INC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GREE ELECTRIC APPLIANCES INC
Publication Date
2020-05-19

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Abstract

The invention discloses a light supplementing method and device for a sweeping robot, and the method comprises the steps: obtaining a brightness value of a current region image collected by a camera in real time, comparing the brightness value with a preset threshold value to determine a to-be-supplemented light region, by a VSLAM algorithm, calculating a moving distance S1 and a rotating angle V1of the robot in a fixed time period, calculating a moving distance S2 and a rotating angle V2 of the robot in a fixed time period by using an IMU algorithm, comparing the difference value of S1 and S2 and the difference value of V1 and V2 with a preset threshold value, determining a comparison result, and determining whether the area to be supplemented with light is a light supplementing area based on the comparison result. By applying the method and the device provided by the invention, the area, needing light supplement, of the sweeping robot can be accurately determined.
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Description

technical field

[0001] The present application relates to the field of sweeping robots, in particular to a method and device for supplementing light of a sweeping robot. Background technique

[0002] In the existing technology, the sweeping robot starts to use machine vision technology in order to realize autonomous obstacle avoidance and route planning. The sweeping robot based on machine vision can acquire images through the camera, and then plan paths and avoid obstacles based on the acquired images and reasonable algorithms. At present, sweeping robots on the market use simultaneous localization and mapping (SLAM for short), which can observe the space cleaned by the sweeping robot through the camera, and identify the landmark objects and main features in the space cleaned by the sweeping robot. The positioning principle draws a room map for navigation, so as to confirm its position in the cleaning space, the cleaned area, the uncleaned area, etc. The camera used in ma...

Claims

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