Why is the Blickfeld point cloud eye-shaped? How can it be configured? And what are the advantages of these setting options for different applications?

LiDAR is the latest buzzword in the world of autonomous vehicles, but how exactly does the technology work? How many types are there? Why use LiDAR instead of any other sensor?

Since Elon Musk claimed that LiDAR is not needed for autonomous driving, there has been a very lively discussion in the industry. Will it work without LiDARs? Are cameras enough to safely bring autonomous driving onto the streets?

For vehicles to be able to drive autonomously, they must perceive their surroundings with the help of sensors: An overview of camera, radar, ultrasonic and LiDAR sensors.

The development stages up to the autonomous vehicle are divided into five levels. What does this classification look like and how are the individual levels characterized?

The fleet management of car rental companies becomes more efficient with a smart infrastructure: LiDAR sensors enable remote control of vehicles and smart parking.

Lidar technology emerged already in the 60s and has evolved from application in aeronautics and aerospace to areas of environment detection such as autonomous driving today.

What happens after a LiDAR sensor has collected data? How is information generated from point clouds that can be used to implement applications like crowd management?

In order to meet automotive requirements, LiDARs need to be highly performant and scalable. MEMS-based LiDARs are a suitable solution. But how is the size of the mirrors defined?