Abstract Systems capable of estimating visibility distances under foggy weather conditions
are extremely useful for next-generation cooperative situational awareness and collision …

The degradation of visibility due to foggy weather conditions is a common trigger for road
accidents and, as a result, there has been a growing interest to develop intelligent fog …

Next-generation intelligent transportation systems are based on the acquisition of ambient
data that influence traffic flow and safety. Among these, is the ambient visibility range whose …

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 …

In this paper, we present a novel fog visibility range estimation algorithm for autonomous
driving application. The proposed method is based on a hybrid neural network for which …

This paper proposes a new method to estimate visibility range in strong foggy weather
conditions on a basis of the Deep Hybrid Convolutional Neural Network (DHCNN). Our …

Driving support techniques using in-vehicle sensors have attracted much attentions and
have been applied to practical systems. We focus on supporting drivers in poor visibility …

Visibility in foggy weather is of great value for traffic management and pollution monitoring.
However, vision-based fog visibility estimation methods are usually based on a single image …

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 …

Atmospheric low-visibility events are usually associated with fog formation. Extreme low-
visibility events deeply affect the air and ground transportation, airports and motor-road …