Environment video information availability evaluation method of vehicle collision prevention and control system

Abstract

The invention discloses an environment video information availability evaluation method of a vehicle collision prevention and control system. The method comprises the steps of collecting environment video information by utilizing video collection equipment, and converting the environment video information into RGB frame images; inputting the RGB frame image into a feature recognition classifier toobtain a multi-dimensional feature value of the RGB frame image; in a high-dimensional space formed by the multi-dimensional feature values, dividing the high-dimensional space into a scene and a scene failure state by utilizing hyperplane segmentation, and outputting a group of multi-dimensional feature parameter sets; in each high-dimensional space closed domain, quantifying a group of multi-dimensional feature parameter sets into representation values of different scenes and scene failure states by utilizing statistical weights collected by training; and carrying out alarm judgment according to the characterization values of the failures of the different scenes, and carrying out alarm output when the characterization values of the failures of the different scenes are exceeded. The visibility decline and trafficability decline of different scenes, video collection failure, too dark image information, video image failure pictures and the like can be recognized.

Description

technical field [0001] The disclosure belongs to the technical field of automobile anti-collision safety of the present invention, and particularly relates to a method for evaluating the availability of environmental video information of a vehicle collision prevention and control system, which is applicable to automatic driving vehicles and active driving safety systems. Background technique [0002] Image information has been widely used in the perception control system of unmanned vehicles and the vehicle collision prevention and control system of driver assistance systems. And it plays an important role in obstacle type recognition and sign marking recognition. Provide convenience for active driving safety and collision prevention and control, and provide support for the development of automatic driving systems. However, many cases remind us that the failure of the automatic driving system may lead to greater accidents. In the vehicle collision prevention and control sy...

AI Technical Summary

Problems solved by technology

In the vehicle collision prevention and control system, if you fail to brake as expected, or brake abnormally when not braking, causing rear-end collisions, etc.

[0003] In most automatic driving systems, information on obstacles or new signs and markings is collected from video equipment as new information and input to the system, and the absence of video input will prompt the automatic driving system to make decisions about whether the environment is safe or does not require additional control. Action judgment; or when the input video signal is poor, the reliability is low

Therefore, when the video capture equipment or environmental conditions are not good, it will cause serious misjudgment and missed judgment of the automatic driving system.

At present, in automatic driving and vehicle collision avoidance systems, the importance of video information is increasing day by day, but as an information input sensor, its own reliability is reduced, which will lead to the risk of systemic failure

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