Estimating meteorological visibility range under foggy weather conditions: A deep learning approach

Estimating Meteorological Visibility Using Cameras: A Probabilistic Model-Driven Approach

Estimating the atmospheric or meteorological visibility distance is very important for air and ground transport safety, as well as for air quality. However, there is no holistic approach to tackle the problem by camera. Most existing methods are data-driven approaches which perform a linear regression between the contrast in the scene and the visual range estimated by means of reference additio...

A conventional approach to nighttime visibility in adverse weather conditions

Artificial Perception under Adverse Conditions: the Case of the Visibility Range

_____________________________________________________________________ Abstract Many factors can alter the quality of the signal resulting from an optical sensor mounted onboard an automotive vehicle. To be able to detect and quantify these degraded operation conditions while relying only on the signals resulting from sensors themselves is a challenge for the future driver assistances. In this p...

Free Space Detection for Autonomous Navigation in Daytime Foggy Weather

Free space detection is a primary task in autonomous navigation. Unfortunately, classical approaches have di culties in adverse weather conditions, in particular in daytime fog. In this paper, a solution is proposed thanks to a contrast restoration approach. Knowing the density of fog, the method restores the contrast of the road and, at the same time, detect the vertical objects. Indeed, these...

Visibility Improvement in Foggy Images using POSHE Algorithm

Bad weather, such as fog and haze, can significantly degrade the visibility of a scene. Optically, this is due to the substantial presence of particles in the atmosphere that absorb and scatter light. In order to deal with the information of fog image, a method for improving image definition based on image segmentation and image improvement technologies is presented. First of all, in accordance...