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 …

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 …

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

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 …

Autonomous vehicles rely on a variety of sensors to gather information about their
surrounding. The vehicle's behavior is planned based on the environment perception …

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

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

Recently, the development of autonomous vehicles and intelligent driver assistance systems
has drawn a significant amount of attention from the general public. One of the most critical …