Rain can significantly impair the driver's sight and affect his performance when driving in wet
conditions. Evaluation of driver visibility in harsh weather, such as rain, has garnered …

Adverse weather conditions degrade the quality of images used in vision-based advanced
driver assistance systems (ADAS) and autonomous driving algorithms. Adherent raindrops …

Research on the effect of adverse weather conditions on the performance of vision-based
algorithms for automotive tasks has had significant interest. It is generally accepted that …

The automotive domain is highly regulated, with many safety-critical aspects to consider.
This means that a great deal of testing is required to validate the performance of automotive …

Advanced driver assistance systems (ADASs) based on video cameras are becoming
pervasive in today's automotive industry. However, while most of these systems perform …

The emergence of autonomous driving technology has tremendous mobility and social-
economic benefits. Autonomous vehicles (AVs) rely on various sensors for environmental …

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 …

Automated vehicles rely heavily on image data from visible spectrum cameras to perform a
wide range of tasks from object detection, classification, and avoidance to path planning …

Vision-based Driver Assistance Systems (DAS) are becoming pervasive in today's
automotive industry. However, most of these systems are designed to perform in good …

Advanced driver assistance systems (ADAS) are increasingly being equipped in modern
vehicles to provide safety warnings and autonomous functions. Cameras are a key …