Dangerous target detection method and device for driving assistance system

Abstract

The invention relates to the field of intelligent driving, specifically discloses a driving assistance system-oriented dangerous target detection method and device, and aims at solving the problem oflow dangerous target detection precision under field complicated traffic scenes. For the aim, the dangerous target detection method comprises the following steps of: identifying a detection frame position of a dangerous target in an obtained vehicle body external image and a Cartesian product of a target type and a distance type according to a preset dangerous target detection model; obtaining a danger level of the target according to the Cartesian product and a danger level matching table; and marking a detection frame of the target in the image according to a color corresponding to the danger level. Meanwhile, the dangerous target detection device, a dangerous target storage device and a dangerous target processing device can execute the steps in the dangerous target detection method. Through above technical scheme, the accuracy of image-based dangerous target detection can be enhanced under real complicated traffic scenes, so as to prevent traffic accidents.

Description

technical field [0001] The invention relates to the field of intelligent driving, in particular to a dangerous target detection method and device for driving assistance systems. Background technique [0002] Dangerous object detection technology is one of the key technologies of the driver assistance system, which can remind the driver of potential dangerous objects during driving and reduce traffic accidents caused by excessive driver fatigue. In advanced driver assistance systems, radar and camera fusion technology is the mainstream direction to detect dangerous objects. The camera is used to detect the target, and the radar is used to measure the distance of the target, and further judge the dangerous target according to the distance. However, its detection effect depends too much on the accuracy of radar ranging. High-precision lidar is too expensive to be commercialized in large quantities; the accuracy of lower-priced millimeter-wave radar ranging is easily affected b...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of low detection accuracy of dangerous objects in realistic and complex traffic scenes, in one aspect of the present invention, a method for detecting dangerous objects oriented to driving assistance is proposed, including:

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