The research of visibility detection in foggy days is of great significance to both road traffic
and air transport safety. Based on the meteorological and video data collected from an …

Low visibility in foggy weather can easily cause accidents and affect normal life. Accurate
visibility estimate is critical to transportation, aviation, marine and other fields. For visibility …

Visibility prediction is an important subject of transportation safety research. At present,
traditional sensing technology based on fog visibility prediction has problems such as large …

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 …

Low visibility always leads to serious traffic accidents worldwide, and it remains a tough
problem despite the extensive work researched in the field of meteorology. Therefore, we …

Low visibility events, including heavy fog and mass fog, are critical threats to travel safety on
expressways. However, it is relatively difficult to make predictions of some types of low …

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 …

We propose a method that uses the visibility feature extraction module and support vector
machine (VFEM SEM) classification algorithm for visibility estimation. First, five statistical …

Scene perception is essential for driving decision-making and traffic safety. However, fog, as
a kind of common weather, frequently appears in the real world, especially in mountain …

Visibility prediction is a concern issue in the field of public transportation, which is related to
the normal operation of flights and the safe travel of vehicles. Therefore, reasonable …