Intelligent lamplight adjustment system based on image processing and adjustment method of intelligent lamplight adjustment system

Abstract

The invention relates to an intelligent lamplight adjustment system based on image processing and an adjustment method of the intelligent lamplight adjustment system. The intelligent lamplight adjustment system comprises a GPS navigator, an image acquisition and processing module, a sensor group, an ECU and an execution unit. The GPS navigator sends predicted real-time route information of a front road, real-time three-dimensional linear image information of the image acquisition and processing module and information acquired by the sensor group to the ECU, and all digital signals are received, compared, judged and calculated, so that control signals of bend light supplementation, dizziness avoidance, steering follow-up and illumination angle conversion are output to the execution unit, so that light beams of a left head lamp and a right head lamp are automatically switched among the work modes of bend light supplementation, dizziness avoidance, steering follow-up and illumination angle conversion. By the adoption of the system, dizziness of vehicles in the same direction and in the opposite directions is avoided, meanwhile, the bend lighting range can be enlarged, lighting and illumination angle conversion are conducted in advance through steering follow-up, the lighting condition of the vehicles is improved, and the driving safety is improved.

Description

technical field [0001] The invention relates to an image processing-based intelligent light adjustment system and an adjustment method thereof, belonging to the technical field of intelligent assisted driving of motor vehicles. Background technique [0002] Along with the improvement day by day of people's living standard, the automobile is more and more subject to people's attention as an important means of transportation. In the actual use process, driving safety issues are becoming more and more prominent, especially at night, in bad weather such as rain, snow, fog and haze, etc., the driver's sight distance becomes smaller and the field of vision becomes narrower; When crossing the road, the A-pillar between the front windshield and the front door glass will form a visual blind spot; when the two vehicles meet, if the other vehicle fails to turn off the high beam in time, it will cause a large blind spot for the driver. The above situations may cause the driver to misju...

AI Technical Summary

Problems solved by technology

In the actual use process, the problem of driving safety has become more and more prominent, especially at night, in bad weather such as rain, snow, fog and haze, etc., the driver's sight distance becomes smaller and the field of vision becomes narrower; When crossing the road, the A-pillar between the front windshield and the front door glass will form a visual blind spot; when the two vehicles meet, if the other vehicle fails to turn off the high beam in time, it will cause a large blind spot for the driver

All of the above situations may cause the driver to misjudge and operate improperly, leading to frequent accidents. Many of these traffic accidents are caused by insufficient lighting of automobile headlights or improper use of lights.

[0003] In the current existing headlight control system, the traditional high and low beam manual switching mode requires the driver to manually switch the high and low beams according to the road condition information. The irradiation range is fixed, and it is easy to cause the abuse of high beams; Adaptive Front-lighting System (Adaptive Front-lighting System) uses multiple sensors to collect vehicle body status information, and controls the headlights to rotate according to the vehicle body condition; while ADB headlight system (Adaptive Driving Beam System, adaptive far light system) can only control the lighting width and brightness of the headlights according to the information collected by the camera on the vehicle. The above-mentioned lighting system has a single function and a low degree of intelligence.

Secondly, because the camera collection is severely restricted by the weather and the environment, the ADB system is inaccurate in its judgment and there are potential safety hazards

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