Abstract
For the safety of meeting vehicles at night, a design scheme of vehicle lighting recognition system for 5G vehicular communication networks is proposed in this paper. Firstly, a camera is used for image acquisition, and then the acquired RGB image is converted to a hue-saturation-lightness (HSL) image in Dedicated cloud. Secondly, a $3\times 3$ convolution kemel is constructed, and the threshold of this HSL is used to create a mask. In which we traverse the original image data and perform uitwise operations on the original image, as well as mask by using the Urightest point as the center of calculation. Lastly, the effective area of the image is divided according to the farthest point of the lane line extension, which can shield the sky and street lights. In addition, all of interference points are excluded according to the symmetry of the headlights shape, the number of false detection is reduced effectively. So, the highlight areas can be marked to indicate the lights from the front vehicles. The results of the analysis are issued to the driving assistant system. The experimental results show that the system can identify the front vehicle lighting with an accuracy of 96.8%. With the help of the identified lighting position, the matrix lamp is set to realize the dynamic management of the beam, and it can be applied to traffic at night for preventing traffic accidents.
Highlights
SYSTEM DESIGN PRINCIPLEIn the image processing of mathematics morphology theory method, a structural element with a certain form is used to measure and extract the corresponding shape in the image, the effect of image analysis and recognition are achieved
5G will generate great value in many indusmes such as security monitoring, video services, industrial goods, and smart transportation
Vehicle networking is a single industry application scenario that can achieve the largest economies of scale
Summary
In the image processing of mathematics morphology theory method, a structural element with a certain form is used to measure and extract the corresponding shape in the image, the effect of image analysis and recognition are achieved. In image processing morphology [15], B is used to expand A for sets A and B in Z , which is called A ⊕ B, it is defined as (1):. The Hough transform method is used in the detection and the extraction of straight lines in an image. For each pixel (x, y), all lines y = kx + b which may pass through it are mapped to k-b space (Hough space), and it is mapped to the ρ − θ space in the polar coordinate system. In (3), (xo, y0) are the coordinates of the pixel points of an edge on the line in the image. In (3), (xo, y0) are the coordinates of the pixel points of an edge on the line in the image. ρ is the distance from the point to the origin, and θ is the angle between the line and the x- axis
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