LiDAR

The point cloud data of the "Twin World" LiDAR consists of a large number of data points. Lidar actively emits laser beams and calculates the distance to each target point by measuring the time required for the laser to reflect off an object or surface. This process is repeated in a short period of time, generating millions of data points to construct a complex "map" of the target spatial surface, known as a "point cloud". After joint calculation, deviation correction and other preprocessing, as well as clustering, extraction and organization of point cloud data, clear digital 3D spatial models can be generated, similar to the effect of "gathering sand into a tower", which is easier for human visual recognition.

The unit is designed for unsupervised public use: controls are recessed or shielded, moving parts are enclosed, and the interface is operable by a child of about six with no instruction. Where a screen is used, the language can be switched without changing the hardware, and the content can be replaced on site.

Time difference ranging principle: Lidar calculates the distance between the target and the radar by measuring the time it takes for the laser beam to travel from the radar to the target and return. Laser beam scanning principle: Lidar typically uses a rotating wheel or rotating lens to scan the laser beam. The wheel or rotating lens will quickly change the direction of the laser beam, scanning the space around the target to obtain its three-dimensional information. Point cloud display technology: Lidar converts light signals into electrical signals. After further processing such as amplification and filtering, the three-dimensional coordinates of the target are calculated based on time difference ranging and angle information. These coordinate points are combined to form point cloud data.