Vehicle collision early warning control method and system based on millimeter wave radar and vehicle

Abstract

The invention provides a vehicle collision early warning control method and system based on a millimeter wave radar and a vehicle. The control method comprises the following steps that the obstacle information identified by the millimeter wave radar is obtained; the obstacle information is processed to obtain a transverse relative distance optimal estimation value, a longitudinal relative distanceoptimal estimation value, a transverse relative speed optimal estimation value and a longitudinal relative speed optimal estimation value; a movement track of an obstacle is established; the longitudinal encounter time and a corresponding transverse relative distance between the vehicle and the obstacle are predicted; and whether a collision risk exists between the vehicle and the obstacle or notis judged; and if yes, a LED light source, corresponding to the current position of the obstacle, in a vehicle long-range lamp is controlled to flash for collision early warning. The millimeter waveradar is adopted as a sensing sensor, the positioning precision of the obstacle is effectively improved, the track tracking and prediction precision of the obstacle are greatly improved, the collisionprediction precision is greatly improved, the reliability of vehicle collision early warning is improved, and the driving safety is improved.

Description

technical field [0001] The present invention relates to the technical field of vehicles, in particular to a millimeter-wave radar-based vehicle collision warning control method, system and vehicle. Background technique [0002] At present, most of the headlight systems of automobiles still use incandescent lamps, halogen lamps or xenon lamps as the high beam light source. When the driver needs to remind the pedestrians, bicycles or vehicles in front, he can only control the flashing of the high beam through the manual switch to complete the reminder function. It cannot automatically help the driver identify information of obstacles at night, and it is easy to increase the risk of collision accidents when the night vision is limited. [0003] At the same time, traditional headlights often use a single light source. When flashing reminders with high beams, it will affect the driver's lighting field of vision and affect safe driving. [0004] In response to the above problems...

AI Technical Summary

Problems solved by technology

[0005] 1. The monocular camera has a relatively short recognition distance for non-light source targets, such as pedestrians, bicycles, and fixed non-luminous obstacles

Especially in the night environment, the recognition distance of the camera is further shortened, so that the collision warning cannot be triggered in time, so that it cannot provide enough time to remind the obstacle and the driver to avoid it, which reduces the driving safety;

[0006] 2. The recognition accuracy of the obstacle position is low, resulting in a large error in the obtained information, but the obstacle collision warning function needs to obtain sufficiently accurate obstacle position and motion information, otherwise it will lead to inaccurate estimation of the collision risk , lead to inaccurate early warning or abuse of early warning, poor driving experience, and reduced driving safety;

[0007] 3. The reliability of the system is low. Because the camera is greatly affected by the weather and the environment, the performance, reliability and robustness of the system are greatly reduced at night or in bad weather conditions, thus affecting driving safety.

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