As automated vehicles progress toward increasing levels of autonomy, the need for
thorough testing of such systems in all relevant environments increases. These safety-critical …

The development of Advanced Driver Assistance Systems (ADAS) has led to safer roads
through the implementation of automated features such as blind spot monitoring, lane …

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

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 …

The visual quality of an image captured by vision systems can degrade significantly under
adverse weather conditions. In this paper we propose a deep learning based solution to …

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

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 …

Advanced Driver Assistance Systems (ADAS) based on video camera tends to be
generalized in today's automotive. However, if most of these systems perform nicely in good …

We present an implementation of a rain simulation and rain removal framework, which is
based on video streams captured with a stereo camera system. This framework can be used …