Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be
very dangerous for drivers. In addition to the visibility problem, the driver must face also the …

Object detection in road scenes is necessary to develop both autonomous vehicles and
driving assistance systems. Even if deep neural networks for recognition task have shown …

Visibility enhancement of images captured during hazy weather conditions is highly
essential for various important applications like intelligent vehicles, surveillance, remote …

Free-space detection is considered as one of the most important tasks in intelligent vehicle,
which remains the essential requirement for obstacle detection and path planning. As a part …

In road environments, real-time knowledge of local weather conditions is an essential
prerequisite for addressing the twin challenges of enhancing road safety and avoiding …

Atmospheric conditions induced by suspended particles, such as fog and haze, severely
alter the scene appearance. In this paper, we propose a novel defogging method based on …

We present a literature review to analyze the state of the art in the area of road detection
based upon frontal images. For this purpose, a systematic literature review (SLR) was …

Image defogging is widely used in many outdoor working systems. However, owing to the
lack of enough information to solve the equation of image degradation model, existing …

In this article, the authors introduce a new color image database, CHIC (Color Hazy Images
for Comparison), devoted to haze model assessment and dehazing method evaluation. For …