The basis for the implementation of LiDAR-based applications is the extraction of information from the 3D data. In most cases, this information starts with the detection and tracking of objects. How does this work?
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 ...
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?
