Human-vehicle-road cooperative programmable matrix type headlamp system and method

Abstract

The invention discloses a man-vehicle-road cooperative programmable matrix type headlamp system, and relates to the technical field of automobile intelligent headlamp systems. The system comprises a camera module, a millimeter-wave radar module, a vehicle body signal module, a data fusion module, a controller module, a power supply module, a constant-current driving module, a matrix type headlampmodule and the like. The invention provides a sensing scheme based on fusion of a radar and a forward-looking camera, moving targets such as a target vehicle and a pedestrian are recognized through the millimeter-wave radar, features such as a license plate and a vehicle lamp of the vehicle target are accurately recognized through the camera, and movement information of the target is obtained through a tracking prediction algorithm; illumination strategies of different modes are obtained through driver intention recognition, moving vehicle detection, road environment detection and other modules, matrix type coding is conducted on the headlamps, the matrix type headlamp module conducts illumination according to the needed illumination area, illumination brightness and the like, and the safety of night driving is improved. Driver intention, moving vehicle information, road driving conditions and the like are comprehensively considered, the position of a moving light source in front of the vehicle at night is dynamically captured based on the camera and millimeter wave fusion scheme, vehicle lamps of the corresponding part of the vehicle are reduced or turned off, the probability of traffic accidents at night is effectively reduced, and the driving safety and comfort are improved.

Description

technical field [0001] The invention relates to the technical field of automobile headlight lighting, in particular to a programmable matrix headlight system and method for "human-vehicle-road" coordination. Background technique [0002] With the popularization of automobiles, the traffic accidents caused by automobiles also show a trend of large-scale growth. In a large number of traffic accidents, about one-third of them occur at night. The main cause of frequent traffic accidents at night is that the driver's driving vision is not clear. It is necessary to identify the driving environment of the current driving vehicle and determine whether there is a possibility of traffic accidents based on the ambient light in the driving road conditions and the lights of the own car. possible. Traditional car headlights cannot automatically adjust their own lighting state according to the characteristics of the driving road conditions, and the lighting area provided to the driver is ...

AI Technical Summary

Problems solved by technology

Traditional car headlights cannot automatically adjust their own lighting state according to the characteristics of the driving road conditions, and the lighting area provided to the driver is too narrow, and the intersection of the lights generated when the own car meets or follows other vehicles Cause the driver's visual glare, so that he can't control the car correctly to avoid traffic hazards

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