Low-light imaging auxiliary driving system based on EMCCD

Abstract

The invention discloses a low-light imaging auxiliary driving system based on an EMCCD. The low-light imaging auxiliary driving system comprises an objective lens assembly and an EMCCD imaging assembly, wherein the objective lens assembly obtains an original image optical signal and transmits the original image optical signal to the EMCCD imaging assembly; in the EMCCD imaging assembly, under the control of a control processing module, a driving module drives an EMCCD low-light imaging module to receive an original image optical signal, converts the original image optical signal into an original image electric signal, and transmits the original image electric signal to an image acquisition module; and the image acquisition module outputs a digital signal of an image through AD conversion, the control processing module processes the digital signal of the image and outputs an enhanced frame image to an image coding module for image coding format conversion, and the image coding module outputs an enhanced video signal to a display screen for display. Effective information of a driving environment under low visibility and low illumination can be extracted and provided for a driver in a short time, and the safety degree of vehicle driving and the perceptibility of surrounding targets under the low-illumination environment are greatly improved.

Description

technical field [0001] The invention relates to the technical field of driving assistance, in particular to an EMCCD-based low-light imaging auxiliary driving system. Background technique [0002] For a long time, there are mainly three methods for assisted driving in extremely weak light environments. The first method is active light source assisted driving, which is also the most direct way to deal with driving problems in dark environments, that is, through the LED headlights actively project light sources to the road surface. This method often requires high-power LED lights, and its detection distance is proportional to the power of the LEDs. The most deadly thing is that it directly exposes the vehicle itself that requires concealed driving; the second method The method uses vacuum devices such as image intensifiers as the core device of the auxiliary pilot. This method has the disadvantage of damaging the device during the day or when there is strong light in the field...

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Problems solved by technology

[0002] For a long time, there are mainly three methods for assisted driving in extremely weak light environments. The first method is active light source assisted driving, which is also the most direct way to deal with driving problems in dark environments, that is, through the LED headlights actively project light sources to the road surface. This method often requires high-power LED lights, and its detection distance is proportional to the power of the LEDs. The most deadly thing is that it directly exposes the vehicle itself that requires concealed driving; the second method The method uses vacuum devices such as image intensifiers as the core device of the auxiliary pilot. This method has the disadvantage of damaging the device during the day or when there is strong light in the field of view. The senses are also poor; the third method is to use solid-state devices such as infrared, CMOS, and CCD. Although infrared devices can see heat source targets in extremely dark environments, they are poor for low heat source targets and road details. CMOS Due to its rolling shutter characteristics, the device has a serious image distortion effect when the vehicle is moving, which will cause great difficulty in driver identification. Ordinary CCD devices have weak perception of low-light environments and cannot effectively deal with dark environments.

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