Compared with daytime, a larger proportion of road accidents happens during nighttime.
The altered visibility for drivers partially explains this situation. It becomes worse when …

Nowadays, fog is still a natural phenomenon that hinders our ability to detect targets,
particularly in the field of driving where accidents are increasing. In the literature we find …

A cause of vehicle accidents is the reduced visibility due to bad weather conditions such as
fog. Therefore, an onboard vision system should take visibility detection into account. In this …

Low visibility on expressways caused by heavy fog and haze is a main reason for traffic
accidents. Real-time estimation of atmospheric visibility is an effective way to reduce traffic …

Vision-based methods for visibility estimation can play a critical role in reducing traffic
accidents caused by fog and haze. To overcome the disadvantages of current visibility …

Fog detection and evaluation in critical conditions is a major challenge in current times. In
this paper a modernized semi-automated machine learning technique for fog detection …

Assessing atmospheric visibility conditions is a challenging and increasingly important task
not only in the context of video-based driver assistance systems. As a commonly used …

Highly integrated and increasingly complex video-based driver assistance systems are
rapidly developing nowadays. Following the trend towards autonomous driving, they have to …

This paper proposes the technique of fog detection under the given scenario of back-veil
scattering technique. This paper presents the overall scenario of detecting and analyzing the …

Driving in adverse weather conditions might be challenging due to the slippery roadways
and reduced visibility. In addition, it might introduce complexities for drivers in selecting …