Check patentability & draft patents in minutes with Patsnap Eureka AI!

Calibration method and system of optical flow sensor

An optical flow sensor and calibration method technology, applied in instruments, image data processing, computing, etc., can solve problems such as low accuracy and large measurement errors, improve accuracy, reduce computing time and resource requirements, and avoid cumulative Drift effect

Active Publication Date: 2018-12-07
AMICRO SEMICON CORP
View PDF10 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Then, use the camera module to shoot the positioning mark, and calculate the correction data according to the shooting result; this invention patent needs to use multiple sensors to cooperate with the correction, and the setting of the positioning mark position leads to a relatively large measurement error, resulting in inaccurate correction results high

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Calibration method and system of optical flow sensor
  • Calibration method and system of optical flow sensor
  • Calibration method and system of optical flow sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0052] According to an embodiment of the present invention, in the step 1, during the process of walking along the edge of the same marker, the robot continuously collects M frames of images of the marker, and obtains the grayscale information I(x, y, t), wherein the grayscale information I(x, y, t) represents a function of position and time, the variable M is set to be equal to or greater than 10, and the unit is frame.

[0053] According to an embodiment of the present invention, the step 1 further includes that the method for locating the coordinates of the marker from the image of the marker includes: the image of the marker collected by the optical flow sensor Find out two characteristic straight lines passing through the calibration symbol in the grayscale information; there are many pixel points distributed in the area near the characteristic straight line in the image grayscale information, use the least square method to find out the two fitting straight line equations,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a calibration method and system of an optical flow sensor. A robot obtains a marker image and a calibrator coordinate identified on the image via a camera module, an image analysis module obtains an optical flow from the marker image in a last frame to the marker image in a present frame to complete operation of the image optical flow between two adjacent calibrators and further to obtain displacement reference data of the robot; a calculation module calculates practical displacement data of the robot according to relative position relation among a marker, the optical flow sensor and the calibrator; and a calibration module fuses displacement reference data of the robot with the practical displacement data of the robot to eliminate accumulated drive of the optical flow and calibrate sensing data of the optical flow sensor. Thus, the optical flow sensor is located accurately.

Description

technical field [0001] The invention relates to the field of robot detection and control, in particular to a calibration method and system for an optical flow sensor. Background technique [0002] The camera on the robot acquires a series of continuously changing images during the motion of the scene. The goal of visual SLAM is to estimate the motion of the robot through such images between adjacent frames for positioning and map construction. Under the existing conditions, visual SLAM uses the optical flow sensor to estimate the motion of the camera on the optical flow sensor between adjacent images, and calculates the spatial point position corresponding to each pixel according to the position of the camera at each moment. Among them, the commonly used method for estimating the motion of the optical flow sensor is the optical flow method. The optical flow method is a method that uses the correlation of pixel intensity data in the image sequence to predict the motion of the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T7/80
CPCG06T2207/10052G06T7/80
Inventor 肖刚军邓文拔
Owner AMICRO SEMICON CORP
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com