The working principle of the lidar calibration whiteboard is mainly to calibrate the internal and external parameters of the lidar by measuring the reflection and scattering characteristics between the laser signal and the calibration whiteboard, so as to improve its measurement accuracy and stability. Specifically, the working process of lidar calibration whiteboard includes the following steps:
Prepare the calibration whiteboard: Select materials with high reflectivity and stability, such as diffuse reflective materials, to make a calibration whiteboard of a certain size and shape.
Set the calibration whiteboard position: Place the calibration whiteboard within the scanning area of the lidar and make sure that its surface is parallel to the scanning plane of the lidar.
Sending and receiving laser signals: LiDAR sends laser signals to the calibration whiteboard and receives the reflected signals. In this process, information such as round-trip time, phase difference, angle, etc., of the laser signal can be measured.
Data processing and calibration: By analyzing the reflection and scattering characteristics between the laser signal and the calibration whiteboard, the internal and external parameters of the lidar, such as the emission angle, reception angle, rotation center, etc., can be obtained. These parameters can be obtained by multiple measurements and data processing on the calibration whiteboard, so as to achieve calibration and accuracy improvement of the LiDAR system.
Application and expansion: The calibrated LiDAR system can be applied to various fields, such as unmanned driving, robot navigation, intelligent transportation systems, etc. By continuously optimizing the calibration algorithm and data processing technology, the perception accuracy and stability of the lidar system can be improved, so as to expand its application range in the field of intelligent perception and automation.
In general, the working principle of the LiDAR calibration whiteboard is to calibrate the internal and external parameters of the LiDAR by measuring the reflection and scattering characteristics between the laser signal and the calibration whiteboard, so as to improve its measurement accuracy and stability. It is widely used in unmanned driving, robotics, intelligent transportation systems and other fields, and is one of the key tools to ensure the normal and accurate operation of lidar systems.