Foggy-day driving visual enhancement and visibility early warning system and method based on multiple sensors

Abstract

The invention discloses a foggy-day driving visual enhancement and visibility early warning system and method based on multiple sensors, and belongs to the technical field of intelligent vehicles safety assistance driving. The system comprises a power supply, a variable-voltage plug, a preposed infrared camera, a preposed millimeter-wave radar, a vehicle-mounted electric control unit module, a vehicle-mounted display screen, a vehicle sound equipment, a vehicle-mounted loudspeaker, and a vehicle speed sensor. Through building a road image classifier and a fog image classifier, building a fog image defogging model and obtaining a clear defogging image, the system and method achieve the effect of visual enhancement, construct a visibility calculation model, judge the visibility level, measure the vehicle speed level through employing the millimeter-wave radar, detect the level of an interval with a front vehicle, and judges whether the visual and acoustic early warning is provided for a driver or not. The system and method can achieve the visual enhancement and driving visibility early warning for the driver under the conditions of a foggy day and low visibility, and solve problems that a conventional vehicle fog light is limited in irradiation range in a foggy data and has a blind region and the driver does not judge the driving environment accurately.

Description

technical field [0001] The invention mainly relates to the technical field of intelligent vehicle safety assisted driving, in particular to a multi-sensor-based foggy driving vision enhancement and visibility early warning system and method. Background technique [0002] Severe weather is one of the main factors that cause road traffic accidents. Among all the severe weather that is likely to cause traffic accidents, fog has the greatest impact, which often leads to speed limits or closures of expressways, delays in driving time, and even leads to chain collisions, causing huge Economic losses. In recent years, due to the severity of haze (dry) or fog (wet), visibility has even been reduced to zero (visibility less than 100 meters is usually considered zero), which is very dangerous for drivers. According to statistics, traffic accidents in fog account for about 15% of the total number of road accidents every year, but cause more than 47% of fatalities. Therefore, there is...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a system and method based on multi-sensor foggy driving vision enhancement and visibility early warning, which is used to solve the problem of blind spots due to the limited irradiation range of existing automobile fog lamps; the traditional visibility detection method is expensive, Difficult to apply real-time operation or measurement results are easily affected by distant obstacles and other technical problems

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