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 …

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 …

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 …

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 …

Adverse weather conditions are very challenging for autonomous driving because most of
the state-of-the-art sensors stop working reliably under these conditions. In order to develop …

Featured Application This work gives some advice on choosing the best wavelengths for
active sensors working in the near-infrared spectral band (such as LiDARs or time-of-flight …

The role of sensors such as cameras or LiDAR (Light Detection and Ranging) is crucial for
the environmental awareness of self-driving cars. However, the data collected from these …

Light detection and ranging sensors (LiDARS) are the most promising devices for range
sensing in automated cars and therefore, have been under intensive development for the …

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 …