This research aims to assess the functionality of the VLP-32 LiDAR sensor, which serves as
the principal sensor for object recognition in autonomous vehicles. The evaluation is …

The performance of LiDAR sensors deteriorates under adverse weather conditions such as
rainfall. However, few studies have empirically analyzed this phenomenon. Hence, we …

With the emergence of autonomous functions in road vehicles, there has been increased
use of Advanced Driver Assistance Systems comprising various sensors to perform …

Light Detection And Ranging sensors (lidar) are key to autonomous driving, but their data is
severely impacted by weather events (rain, fog, snow). To increase the safety and …

LiDAR systems emerge as one of the key systems for autonomous vehicles. The present
work quantifies the influence of rain in different LiDAR parameters: range, intensity, and …

This article focuses on testing and investigating further development needs for LiDARs in
self-driving cars in adverse weather. The article compares two different LiDARs (Ibeo Lux …

Light detection and ranging (LiDAR) is widely used in autonomous vehicles to obtain
precise 3D information about surrounding road environments. However, under bad weather …

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 …

Lidar sensors are often used in mobile robots and autonomous vehicles to complement
camera, radar and ultrasonic sensors for environment perception. Typically, perception …

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