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 …

Dynamic traffic management (DTM) systems are used to reduce the negative externalities of
traffic congestion, such as air pollution in urban areas. They require traffic and …

Vehicle detection is an indispensable part of environmental perception technology for smart
cars. Aiming at the issues that conventional vehicle detection can be easily restricted by …

Object detection and classification are key processes in advanced driver-assistance
systems. The existing object detection and classification methods are effective in normal …

Vehicle monitoring using camera networks is an important task for traffic applications.
Moreover, it becomes critical in nighttime, when the probability of an accident considerably …

Driving obstacle detection has great importance in automatic driving safety. However, the
deterioration of image quality in the foggy environment brings many difficulties to the …

Smart traffic and information systems require the collection of traffic data from respective
sensors for regulation of traffic. In this regard, surveillance cameras have been installed in …

Haze removal is an essential requirement in autonomous vehicle applications for identifying
different objects on the road. Most of the available techniques are based on different …

The haze scenes will bring negative impact to the object tracking process. In haze scenes,
aerosols in the air will decrease the information entropy of the image generated by the …

Nowadays, many camera-based advanced driver assistance systems have been created in
recent years to assist drivers and assure their safety in a variety of driving situations. When …