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 …

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 …

With the common use of lidar sensors on intelligent vehicles, the simulation of lidar in
autonomous driving is necessary. This study proposes an innovative lidar modeling method …

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 …

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 …

Abstract The LiDAR (Light Detection And Ranging) technology has been in existence since
the 1960s. The advancement in technology has made LiDAR a popular sensor nowadays …

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 …

This article focuses on development baseline for a novel LIDAR for future autonomous cars,
which require perception not only in clear weather, but also under harsh weather conditions …

This paper intends to analyze the Light Detection and Ranging (Lidar) sensor performance
on detecting pedestrians under different weather conditions. Lidar sensor is the key sensor …