Tag point clouds

LiDAR generates high-accuracy point clouds and acts as a building block for many technologies. But processing and storing the large amount of data generated has always been a big challenge. This blog post will uncover the on-device motion detection through background subtraction and explain how it helps in reducing the total data transmitted over wireless LiDAR applications and 5G networks.

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?

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?