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

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

This paper presents a new approach for the test of automotive sensor systems in rain. The
approach is based on an indoor test method, which helps to save test kilometers and test …

Automotive safety systems aim to provide maximum protection to vehicle occupants and
vulnerable road users. These safety features rely on data from surround sensors such as …

Die Ausrüstung von Fahrzeugen mit Fahrautomatisierungssystemen hat das Ziel, den
Fahrkomfort zu erhöhen und den Menschen, der für die meisten Unfälle verantwortlich ist …

While much effort has been devoted to deep learning object detection, relatively limited
attention has been paid to object detection in bad weather, eg rain, snow or haze. In heavy …

Vehicle safety promises to be one of the Advanced Driver Assistance System's (ADAS)
biggest benefits. Higher levels of automation remove the human driver from the chain of …

Testing of advanced driver-assistance systems (ADAS) is complex, time-consuming and
expensive. Therefore, new methods for the validation of such applications are required. A …

Recently, optical sensors have become a standard item in modern cars, raising questions
with respect to the necessary testing under various ambient effects. In order to achieve a …

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 …