A laser target recognition system and method based on modulated waves

Abstract

The invention discloses a laser target recognition system and method based on modulation. The system includes: a base station, which is used to use two laser emitters arranged on the base station to respectively emit laser beams of different wavelengths, and use The optical modulator modulates the laser beam and synthesizes it into a mixed light containing two wave bands with a modulation waveform amplitude difference of 180°, which is directed to the target to be identified, and the laser receiver is used to receive the mixed light that has been filtered and reflected by the target to be identified. Targets to be identified; one or more targets to be identified, used to filter the mixed light emitted by the base station, partially filter or completely cut off one of the wavelengths of light waves, and deflect the filtered light by several angles through the optical splitting device Then reflect back to the base station.

Description

technical field [0001] The invention relates to the technical field of target recognition, in particular to a laser target recognition system and method based on a modulating wave. Background technique [0002] The lidar system is a scanning sensor using laser ranging technology. Its working principle is similar to that of a general radar system. It detects targets by emitting laser beams, and forms point clouds and acquires data by collecting reflected beams. Lidar systems have been widely used in automotive autonomous driving, unmanned driving, positioning and navigation, space mapping, robotics and other fields. [0003] At present, the main way to identify the target object through the laser point cloud is: manually mark the received laser point cloud point by point in advance to obtain the laser point cloud sample data corresponding to the target object; use the sample data for machine learning to obtain object recognition Model; through the object recognition model, t...

AI Technical Summary

Problems solved by technology

[0004] To sum up, due to the huge amount of laser point data contained in the laser point cloud, manually labeling the received laser point cloud point by point is slow, resulting in low recognition efficiency of the target object, resulting in a large amount of calculation. , Difficult feature extraction, low recognition accuracy, and accuracy problems caused by weather, strong reflections, and other factors will also reduce the reliability of target recognition

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