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

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 …

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 …

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 …

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 …

In this work, we introduce a novel approach to model the rain and fog effect on the light
detection and ranging (LiDAR) sensor performance for the simulation-based testing of …

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 …

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 …

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 …

This paper presents the first of its kind real-time simulation of the effect of spray water on an
automotive LIDAR sensor. The simulation is based on physically measurable quantities in …