A：
DADISICK laser radar can be used not only independently but also in combination with imaging devices such as microwave radar, visible light cameras, infrared cameras, or-light cameras. This allows the system to detect distant targets and achieve precise tracking. In addition to the well-known application in autonomous driving, laser radar plays an indispensable role in many other fields as well.
1、City 3D Building Model
"Digital city" is an important part of the digital earth technology system, and it includes 3D models of the main objects in the city, including 3D terrain, 3D building models, and 3D pipeline models. These 3D building models are one of the important basic information of the digital city.
DADISICK LiDAR technology can quickly complete the acquisition of 3D spatial data, and after processing, it can obtain image data with coordinate information.
2、Atmospheric Environment Monitoring
Due to its short detection wavelength, strong beam directionality, and high energy density, DADISICK LiDAR has advantages such as high spatial resolution, high detection sensitivity, and the ability to distinguish detected species and eliminate blind spots. It has become an effective means for high-precision remote sensing detection of the atmosphere. Using LiDAR, the distribution of aerosols, cloud particles, atmospheric composition, and vertical profiles of wind fields can be detected, and effective monitoring of major pollution sources can be carried out.
3、Automatic Parking Technology
The automatic parking system usually installs sensors around the front and rear of the car, which can serve as both transmitters and receivers. They send out laser signals, which are reflected back when they encounter obstacles around the car body. Then, the onboard computer uses the time required to receive the signal to determine the position of the obstacle.
4、Intelligent Traffic Signal Control
Integrate a ground-based 3D laser scanning system into the signal control system at important intersections in the city. The laser scanner continuously scans a certain distance of the road, obtaining real-time and dynamic point cloud data of the traffic flow on this section of road. The data is then processed to obtain parameters such as traffic flow, and based on the comparison of the traffic flow between the east-west and north-south directions and short-term traffic flow predictions, the signal light cycles for the east-west and north-south directions are automatically adjusted.
