Dynamic visibility detection method for foggy highways based on AOD Net
The dynamic detection method of visibility of highway,which is mainly based on image frame difference characteris-tics,lacks enough diverse and representative real data sets,which makes the intelligent detection accuracy of visibility decrease.Therefore,therefore,using the advantage of game iterative calculation of generated against network,design a dynamic detection of fog-day visibility of highway based on AOD-Net(An All-in-One Network).Firstly,the foggy image generation algorithm in the ad-versarial generation network is adopted to judge the true degree of the generated foggy image,aiming to make the discriminator ac-curately distinguish the real image from the generated image.Then,the characteristics at different scales were captured to estimate the haze parameters more accurately,and the haze dynamic identification and visibility detection were completed using AOD-Net.Finally,the hierarchical early warning model of fog is constructed to realize the intelligent early warning of fog.Through compara-tive experiments,it is proved that the proposed detection method can realize the dynamic and high-precision detection of the visibil-ity of the foggy expressway,and the deviation between the detection results and the actual visibility is not more than 5m,which has high application value.
AOD-Nethighwaydynamic detectionvisibilityfoggy days
万方数据
维普
