Road image information recovery and lane keeping warning method in bad foggy weather

Abstract

The invention discloses a road information recovery and lane keeping early warning method in severe foggy weather, and belongs to the technical field of intelligent vehicle safety assisted driving. The present invention obtains clear road information restoration images in real time by constructing fog image classifiers, different fog density classifiers, hazy fog map restoration models based on the three primary colors superposition principle, and road information restoration models based on color migration methods. , realize the visual enhancement effect, build a vehicle position detection model in the lane, and use the direction parameters of the vehicle in the lane and the position of the vehicle in the lane to judge whether to provide visual and auditory warnings to the driver. The method realizes the restoration of visual information of the road environment under foggy and low visibility conditions, and solves the problems of limited irradiation range of existing automobile fog lamps, blind spots, and inaccurate judgment of the driving environment by the driver in foggy weather.

Description

technical field [0001] The invention mainly relates to the technical field of safety assisted driving of intelligent vehicles, in particular to a method for recovering road image information in bad fog and for lane keeping warning. Background technique [0002] According to statistics, more than 80% of the road environment information is obtained through the driver's vision. However, in foggy and low visibility conditions, it is difficult for drivers to obtain road information. The safety driving assistance system has become an important means to obtain road information under unfavorable vision. The proposed road information restoration method in foggy weather under low visibility is a very useful preprocessing step for the vision-based driving assistance system. widespread attention. [0003] Darkness and bad fog are one of the main factors that cause road traffic accidents. Among all the bad weather that is likely to cause traffic accidents, fog has the greatest impact. ...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a road image information restoration and lane keeping warning method in severe fog to solve the problem that existing automobile fog lamps have limited irradiation range and blind spots; traditional information restoration methods are expensive and difficult Suitable for real-time operation or measurement results are easily affected by distant obstacles and other technical issues

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