Laser ranging method based on image recognition

Abstract

The invention belongs to the field of image processing, and discloses a laser ranging method based on image recognition, which comprises the following steps of: obtaining laser point coordinates of different distances in an ideal environment in advance, and establishing a laser point motion track linear equation and a motion trend set; when actual distance measurement is carried out, a bright spot is searched by traversing a laser point movement track line of an image, the bright spot is filtered to obtain a center coordinate of a laser point to be measured, and the center coordinate is further substituted into a distance conversion formula to obtain a distance to be measured. According to the method, the required image and calculation amount is small, the calculation speed is high, the precision is high, and distance measurement can be rapidly completed even under the interference of a strong environment.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a laser ranging method based on image recognition. Background technique [0002] Traditional ranging methods use two methods to measure distance: the pulse method and the phase method. In pulse method ranging, the laser emitted by the ranging device is reflected by the object to be measured and then received by the ranging device, and the ranging device simultaneously records the round-trip time of the laser. Half the product of the speed of light and the round-trip time is the distance between the ranging device and the object being measured. Phase ranging is to use the frequency of the radio band to modulate the amplitude of the laser beam and measure the phase delay generated by the modulated light going back and forth to the object to be measured, and then convert the distance represented by the phase delay according to the wavelength of the modulated light. [0003] Howeve...

AI Technical Summary

Problems solved by technology

However, at present, this kind of technology still needs to consume multiple images and more calculations, and is easily affected by multiple factors such as external lighting, reflective materials, and laser absorption.

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