Abstract

Compared with traditional Lidar, photon counting laser radar uses a high repetition rate and low pulse energy detection mechanism. The efficiency of laser echo can be improved by more than two orders of magnitude compared with traditional Lidar systems benefitting from the use of extremely sensitive Gm-APD (Geiger mode avalanche photodiode), which greatly improves the detection probability of the system. However, it becomes difficult to detect fast-moving targets within a long counting time, especially under the interference of high background noise. In order to detect high background, long distance and fast moving targets, we propose a dynamic TCSPC method based on point-line duality. The proposed method clusters the point clouds with a certain relationship in the original point cloud space, and finds the corresponding points in the parameter space that can connect some point clouds in a certain analytical form. Simulation results show that highspeed moving target can be detected.

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