Automobile headlight control device and method for automatic adjusting night driving bend and grade

Abstract

The invention relates to an automobile headlight controlling device and a method for automatically adapting to the driving curve and slope. The controlling device comprises a camera, a micro-processor, a controller and an LED light source array. The method comprises the following steps: the micro-processor reads the video image data of the camera frame by frame; four areas are divided on the read image, wherein the four areas are a left area and a right area in a horizontal direction and an upper area and a lower area in a vertical direction on the image; the micro-processor performs the image processing to two consecutive frames of images to acquire the speed change information of the pixel light intensity in the four areas; the micro-process extracts the characteristic information of the driving environment and the driving conditions and sends the information to the controller according to the acquired speed change information of the pixel light intensity in the four areas; and the controller automatically controls the lighting mode of the LED light source array according to the acquired characteristic information of the driving environment and the driving conditions. The system realizes the extraction and the determination of the characteristic information of the driving environment and the driving conditions on the complex background, and automatically adapts to and controls the headlight lighting mode according to the characteristic information of the driving environment and the driving conditions, thereby greatly reducing the probability of the traffic accident caused by the blind area, and ensuring low cost, small size and particularly high determination accuracy.

Description

technical field [0001] The invention relates to a device and method for extracting features of nighttime driving environment and driving state, and automatically adapting and controlling the illumination mode of vehicle headlights according to the characteristics of driving environment and driving state. Background technique [0002] According to statistics from the traffic department, although the traffic at night or dawn only accounts for 25% of the whole day's traffic, the accident rate during this period is as high as about 44%, and the serious traffic accident rate is twice that of the daytime. Excluding human factors such as driver drinking and fatigue driving, the main reason for the high number of traffic accidents at night is that drivers cannot see the road conditions as clearly as they do during the day, and there are lighting blind spots, which directly affect the main factor of night traffic safety. Blind spot means that when the vehicle is about to enter a curv...

AI Technical Summary

Problems solved by technology

For the judgment of night driving environment, driving state and vehicle self-driving state, most of the systems are completed by special hardware at present, such as a kind of automatic control device used for meeting cars to change light is announced in Chinese patent 87216416, this device is important The photosensitive receiver composed of photoelectric sensitive devices, concentrating lenses, and anti-side light sheath judges the oncoming vehicle according to the illuminance of the other party, but this device is easily disturbed by changes in external light and cannot judge the speed, turning and road conditions of the own vehicle

Another example is Japan's Denso Corporation, Toyota Motor Corporation, and Koito Manufacturing Company jointly developing an intelligent car light system. An angle sensor is installed on the steering wheel, which can adjust the irradiation direction of the car light in the horizontal direction according to the steering angle and driving speed of the car. The visible field of view when the car turns at night, but it cannot obtain the information of the road conditions in front of the vehicle such as uphill and downhill when driving

Their common disadvantages are: adapting to the driving environment and the changing range of driving status is small, the changes to the vehicle itself are relatively large, and it is difficult to integrate with other systems of the vehicle

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