Vehicle detection in traffic surveillance images is an important approach to obtain vehicle
data and rich traffic flow parameters. Recently, deep learning based methods have been …

Haze and fog are big reasons for road accidents. The haze occurrence in the air lowers the
images quality captured by visible camera sensors. Haze brings inconvenience to numerous …

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at
the same time, there are only few research studies that addressed the impact of reduced …

Fog, haze and smoke are a big reason of road accidents. Fog reduces contrast level of the
image that affects the visual quality of the image. In field of computer vision visual quality …

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 …

A high-performance piezoelectric sensor was fabricated for the real-time monitoring of
meteorological wind and rainfall. A vertically aligned zinc oxide nanowires (ZnO NWs) …

The primary objective of this study was to develop a trajectory-level weather detection
system capable of providing real-time weather information at the road surface level using …

The estimation methods of meteorological visibility currently in use on digital image are
mainly based on the meteorological laws and the corresponding features are extracted …

Although air pollution is one of the most significant environmental factors posing a threat to
human health worldwide, air quality data are scarce or not easily accessible in most …

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 …