Advanced driver assistance systems (ADAS) depend heavily on clear and precise
environmental perception. It is a known issue that vision-based sensors, like cameras and …

Accurate environmental perception is essential for advanced driver assistance systems
(ADAS). Vision-based sensors underperform in bad weather, while radar, which performs …

Intelligent vehicles use surround sensors to perceive their local environment. However,
already small errors in sensor data measurement and interpretation can lead to severe …

Recently, the development of autonomous vehicles and intelligent driver assistance systems
has drawn a significant amount of attention from the general public. One of the most critical …

Driving automation systems typically use surround sensors to perceive their local
environment. Accidents with automated vehicles have shown that errors in sensor data …

Advanced driver assistance systems (ADAS) and automated driving systems (ADS) rely on a
variety of sensors to detect objects in the driving environment. It is well known that rain has a …

While it is well known that rain may influence the performance of automotive LIDAR sensors
commonly used in ADAS applications, there is a lack of quantitative analysis of this effect. In …

Modern vehicles are equipped with Advanced Driver Assistance Systems (ADAS) that rely
heavily on a variety of sensors such as LiDAR, RADAR, SONAR, and camera to capture …

Over the last years, millimeter-wave radars have been established as automotive sensors.
Generally, radars deal better than optical sensing modalities with adverse weather …

Automotive Lidar sensors are highly susceptible to their environment. One of its major
limitations results from the effects of rain environments, which should be seriously …