Vehicle-mounted-based automatic calibration control method, storage medium and system

A technology of automatic calibration and calibration point, which is applied in the field of image processing and can solve the problems of high participation in manual interaction and low repeatability.
CN111145249APending Publication Date: 2020-05-12广东星舆科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
广东星舆科技有限公司
Publication Date
2020-05-12

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to the field of image processing, and discloses a vehicle-mounted-based automatic calibration control method. The method comprises the steps of obtaining video image data, identifying the number of calibration points, and obtaining positioning data of vehicle-mounted positioning points; acquiring positioning data of a first calibration position at the first calibration distance; acquiring positioning data of a second calibration position at a second calibration distance; calculating the course of the vehicle body according to the positioning data of the first calibrationposition and the second calibration position; calculating an included angle between the vehicle body heading and a connecting line of the first calibration point and the second calibration point; andtriggering calibration when the absolute value of the included angle-90 degrees is smaller than or equal to a first threshold value. The invention further discloses a corresponding storage medium andsystem. Some technical effects of the invention are that automatic control of camera calibration is realized.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of image processing, in particular to an automatic calibration control method in the field of image processing. Background technique

[0002] Vision is an important means for humans to observe and understand the world, accounting for 70% of the information humans obtain from the external environment. Human beings use their eyes to obtain the light reflected by surrounding objects or emitted by themselves. The light forms an image on the retina and is transmitted to the brain through nerve fibers. The brain processes and understands the visual information and finally forms vision. Computer vision simulates the function of human vision, uses cameras to obtain images of the surrounding environment, and uses computers to process images. Computer vision can accomplish tasks that human vision is not capable of, such as accurate measurement of the size and distance of the object to be measured. Computer vision technology c...

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