Image processor-combined algorithm for speed restriction board detection during automatic driving

Abstract

The invention provides an image processor-combined algorithm for speed restriction board detection during automatic driving. An image with the resolution of 1600*1200 is reduced to an image with the resolution of 1200*900, and a red image with a similar red color as a speed restriction board is obtained by means of CUDA C language on a CPU and is given back to the CPU. A connected-component analysis algorithm is used to obtain information of each connected component, such as the position. Then, on the original color image with the resolution of 1600*1200, a judgment is made whether each connected component is a speed restriction board or not, by means of a support vector machine classifier. Finally, positions and pixel sizes of all speed restriction boards in the original image with the resolution of 1600*1200 are obtained. The invention proposes that a part of steps of the detection algorithm, where parallel computing is easy, are executed on the CPU, and in combination with calculation advantages of a central processing unit and an image processor, serial and parallel computing is carried out at the same time, thereby improving the speed restriction board detection rate and the speed restriction board detection speed. The algorithm of the invention has the advantages of high running frame rate, short development cycle, easy understanding and convenient maintenance.

Description

technical field [0001] The invention relates to the field of traffic information detection in the automatic driving industry, in particular to an algorithm for detecting speed limit signs in combination with a graphics processor in automatic driving. Background technique [0002] With the development of computer science and robotics, self-driving vehicles have been widely used in military, civil and scientific research, etc., and it has concentrated the latest research results of multiple disciplines such as structure, electronics, cybernetics and artificial intelligence. ,have a broad vision of application. [0003] In the development of unmanned driving technology, the speed limit plate detection algorithm is a relatively time-consuming algorithm, which needs to process the image pixel by pixel. Both color extraction and contour extraction are time-consuming. Moreover, the contour extraction algorithm is a recursive algorithm, and it is not easy to modify it into a paral...

AI Technical Summary

Problems solved by technology

Both color extraction and contour extraction are time-consuming

Moreover, the contour extraction algorithm is a recursive algorithm, and it is not easy to modify it into a parallel operation mode. Therefore, how to quickly detect the speed limit plate is a technical problem urgently to be solved by those skilled in the art.

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