Active night vision adaptive exposure method, system and vehicle

Abstract

The invention discloses an active night vision self-adaptive exposure method, system and vehicle, wherein the method comprises the following steps: acquiring a current frame night vision image while driving; detecting whether there is a car light object in the target area of ​​the current frame night vision image ; If there is a car light object in the target area of ​​the current frame night vision image, calculate the car light spacing and single light spot diameter of the car light object; calculate the next frame of night vision image according to the car light spacing and single light spot diameter Make an exposure. According to the method of the present invention, severe overexposure of the high-contrast part in the night vision image can be prevented, and the display effect of the night vision image can be improved, so that targets in the night vision image can be effectively identified, and the safety of driving at night can be improved.

Description

technical field [0001] The invention relates to the technical field of exposure control, in particular to an active night vision adaptive exposure method, an active night vision adaptive exposure system and a vehicle. Background technique [0002] The current exposure control of image acquisition basically uses human vision as the basis for judging the quality of exposure, and more consideration is given to the overall effect of the image, such as outstanding details and wide brightness range. Exposure control methods for cameras can be classified into mean exposure methods, histogram exposure methods, and exposure methods combining the two. [0003] The traditional histogram method uses the characteristics of the image histogram as the basis for exposure control, and uses the different curve characteristics of the brightness histogram of the image under different exposure conditions to judge whether the scene exposure is correct, so as to control the exposure. The automati...

AI Technical Summary

Problems solved by technology

[0004] In the vehicle-mounted vision system, using the above-mentioned exposure control method will lead to a decrease in the recognition of the target scene in the picture and partial overexposure in the case of high contrast.

For example, when the headlights of passing cars are turned on at night, adjust the exposure according to the average gray value or the brightness histogram. Because of the high contrast of the headlights in the entire picture, the above method will cause serious headlights. Overexposure, so that the on-board camera system cannot distinguish key needs such as pedestrians or small vehicles at a certain distance from the car to identify targets

This will undoubtedly endanger the safety of driving at night.

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