LiDAR can help agriculture increase yields and use land more efficiently through detailled monitoring. The technology is thus preparing the agricultural sector for the future.
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?
