Single photon 3D imaging method based on dual wedge scanning

Abstract

Lidar is a promising active imaging technology that utilizes laser as the signal source to obtain accurate range, azimuth, speed, and other target characteristics, enabling 3D scene perception. Single photon lidar, using high sensitivity single photon detectors and high-frequency photon counting, has greatly improved the detection range of lidar. However, achieving large field of view and high resolution in single-photon 3D imaging remains a challenge. Therefore, we propose a long-distance single photon 3D imaging lidar based on dual wedge scanning, where the dual wedge scanning method is employed to extend the field of view, and the GM-APD array is utilized to improve imaging speed. In this work, we investigate the distribution characteristics of the point cloud in dual wedge scanning and propose a sub-pixel scanning-based 3D reconstruction and image processing method for point cloud. Through our approach, we successfully achieve large field of view, high resolution, and fast 3D imaging. Our method can be applied in a wide range of applications, including investigation, mapping, unmanned driving, and more.