Single photon 3D imaging based on a few echo photons

Chen, Ming; Huang, Yu; Zeng, Xianjiang

doi:10.1117/12.2625061

Cited by 1 publication

(1 citation statement)

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“…In a previous work 9 , a highlighter efficiency algorithm for remote estimation under a small number of echo photons was investigated. However, the assumption in this algorithm that only one distance is included in each probe is not applicable when each probe contains distance information of multiple points that need to be resolved.…”

Section: D Point Cloud Reconstruction Algorithm Based On Subpixel Sca...mentioning

confidence: 99%

Single photon 3D imaging method based on dual wedge scanning

Chensheng,

Ming,

Xianjiang

2023

International Conference on Optoelectronic Information and Functional Materials (OIFM 2023)

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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.

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Section: D Point Cloud Reconstruction Algorithm Based On Subpixel Sca...mentioning

confidence: 99%