Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …

Perception sensors such as camera, radar, and lidar have gained considerable popularity in
the automotive industry in recent years. In order to reach the next step towards automated …

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 …

For robust object detection on LiDAR data, neural networks have to be trained on diverse
datasets that contain many different environmental influences like rain, snow, or fog. To this …

Autonomous Vehicle (AV) technologies are faced with several challenges under adverse
weather conditions such as snow, fog, rain, sun glare, etc. Object detection under adverse …

The detection range and accuracy of light detection and ranging (LiDAR) systems are
sensitive to variations in fog concentration, leading to the safety of the intended functionality …

Sensor degradation is one of the major challenges for autonomous driving. During the rain,
the interference from raindrops can negatively influence LiDAR measurements. For …

Perception is the key entrance point of an automated driving system (ADS) capability to
navigate complex scenarios. Although knowledge on static environment features might be …

Onera, the French aerospace lab, develops and models active imaging systems to
understand the relevant physical phenomena affecting these systems performance. As a …

Autonomous Vehicles (AVs) operating outside of fair-weather conditions will inevitably
encounter winter weather. In populous cities like Boston, Chicago, New York, Detroit and …