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 …

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 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 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 …

The performance of light detection and ranging (LiDAR) degrades severely in adverse
weather conditions of which fog is considered one of the worst. In this letter, fog effects on …

As a critical sensor for high-level autonomous vehicles, LiDAR's limitations in adverse
weather (eg rain, fog, snow, etc.) impede the deployment of self-driving cars in all weather …

LiDARs play an important role in autonomous driving. They can provide accurate
information about the surroundings, which is essential for perception tasks. Unfortunately …

By transmitting lasers and processing laser returns, LiDAR (light detection and ranging)
perceives the surrounding environment through distance measurements. Because of high …

Autonomous driving at level five does not only means self-driving in the sunshine. Adverse
weather is especially critical because fog, rain, and snow degrade the perception of the …