The advancement of agricultural technology has increasingly positioned robotic detection
and localization techniques at the forefront, ensuring critical support for agricultural …

Detecting objects in 3D under various (normal and adverse) weather conditions is essential
for safe autonomous driving systems. Recent approaches have focused on employing …

System perception of the environment becomes more important as the level of automation
increases, especially at the higher levels of automation (L3+) of Automated Driving Systems …

Depth estimation is a critical component of self-driving vehicles, enabling accurate scene
understanding, obstacle detection, and precise localization. Improving the performance of …

Vehicles featuring partially automated driving can now be certified within a guaranteed
operational design domain. The verification in all kinds of scenarios, including fog, cannot …

This work presents an autonomous remote sensor measurement system to monitor structural
change detection. We utilized a portable network analyzer as a core component of a ground …

LiDAR plays a critical role in autonomous car perception. Hence, the robustness of LiDAR
data is imperative. However, malfunctions resulting from sensor cover contaminants are …

Methods based on 64-beam LiDAR can provide very precise 3D object detection. However,
highly accurate LiDAR sensors are extremely costly: a 64-beam model can cost …

Extreme conditions and the integrity of LiDAR sensors influence AI perception models in
autonomous vehicles. Lens contamination caused by external particles can compromise …

Due to the automobile industry, the LiDAR market is expanding quickly, with more than 100
businesses creating 3D ADAS solutions. 25 automotive LiDAR start-ups with a wide range of …