Method for identifying danger objects on basis of radar data and video signal fusion

Abstract

The invention discloses a method for identifying danger objects on the basis of radar data and video signal fusion. The method includes steps of (1), receiving related data of radar equipment and video equipment; (2), processing the radar data and extracting obstacle information; (3), spatially synchronizing video data and the obstacle information detected by radar; (4), analyzing and processing the video data and calibrating interested regions; (5), identifying and judging the locations in the video data again, identifying obstacles as the danger objects if the obstacles are still available and identifying the obstacles as non-danger objects if the obstacles are not available. The locations in the video data are identified as the obstacles by the radar. The method has the advantages thatvideo and the radar are fused with one another, accordingly, users can clearly know forward road conditions, the false alarm rate can be lowered, and interference on drivers can be reduced; the forward road conditions still can be indicated by the radar even when the visibility is deteriorated under the conditions of nighttime, heavy rain, heavy fog and heavy snow, and the drivers can be visuallyreminded of the danger objects.

Description

technical field [0001] The invention relates to the technical field of automotive radar, in particular to a method for identifying dangerous targets based on fusion of radar data and video signals. Background technique [0002] Car rear-end collision accidents are the most frequent in road traffic and one of the most dangerous accidents during vehicle operation. 91% of rear-end collision accidents are caused by driver distraction (dozing off, making phone calls, etc.). If the driver is reminded 0.5s in advance If the driver takes measures, 60% of rear-end collisions can be avoided, and if the driver is reminded 1s in advance, the avoidance rate of rear-end collisions can be as high as 90%. [0003] Take the millimeter wave radar as an example, the millimeter wave radar is a radar working in the millimeter wave band (millimeter wave) detection. Usually millimeter wave refers to the frequency domain of 30-300 GHz (wavelength is 1-10 mm), which has good target detection capabi...

AI Technical Summary

Problems solved by technology

However, the image sensor has a short working distance, and there are blind spots in the long distance. The method of using a single sensor to realize the anti-collision system is limited by the amount of information and the complexity of the algorithm, and it is difficult to meet the complex road environment.

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