Automatic fog detection and estimation of visibility distance through use of an onboard camera

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BLIND CONTRAST ENHANCEMENT ASSESSMENT BY GRADIENT RATIOING AT VISIBLE EDGES (2011, background): “Assuming a flat world scene, it is possible to estimate (β , A∞) thanks to the existence of an inflection point on the representative curve of (12) (Lavenant et al., 2002; Hautière et al., 2006b).”
Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging (2015, methodology): “[5] presented an automatic method of fog detection and of estimation of visibility distance using side geographical information obtained from an onboard camera.”
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding (2018, background): “In addition, visibility estimation has been extensively studied for both daytime [22,35,55] and nighttime [18], in the context of assisted and autonomous driving.”
Semantic Foggy Scene Understanding with Synthetic Data (2017, unknown): “In addition, visibility estimation has been extensively studied for both daytime (Tarel et al. 2010; Miclea and Silea 2015; Hautière et al. 2006) and nighttime (Gallen et al.”
Vision Enhancement in Homogeneous and Heterogeneous Fog (2012, methodology): “where vh is the vertical position of the horizon line in the image and m depends on intrinsic and extrinsic parameters of the camera, see [11] for details.”