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 …

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

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

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 …

Bad weather conditions lead the robustness of most surveillance and driver assistance
system. Therefore this paper attempts to review the type of bad weather in a perspective of …

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 …

Current vision systems are designed to perform in normal weather condition. However, no
one can escape from severe weather conditions. Bad weather reduces scene contrast and …

Raindrops on vehicles' windshields can degrade the performance of in-vehicle vision
systems. In this paper, we present a novel approach that detects and removes raindrops in …

Autonomous vehicles use cameras as one of the primary sources of information about the
environment. Adverse weather conditions such as raindrops, snow, mud, and others, can …