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Proceedings Paper

Design and simulation of first-photon 3D lidar
Author(s): Dan Li; Qiurong Yan; Yibing Yang; Yifan Wang; Zhiqiang Wang
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Paper Abstract

We design a first-photon 3D Lidar system to solve the problem of reconstructing the target reflectivity and depth maps in low-light-level. The Monte Carlo method was used to simulate the photon counting model, mean value and gated filter algorithm for doubly stochastic Poisson point processes. The influence factors of reflectivity and depth imaging are light intensity, noise and scanning time, we simulated them and use gated filtering to suppress noise. The simulation results showed that the noise ratio, light intensity and scanning time all have impact on the reconstruct reflectivity and depth maps. if the light intensities and scanning time increase, noise ratio decrease, the image quality of target reflectivity and depth maps would improve. And the gated filtering can effectively suppress noise and improve the quality of target reflectivity and depth maps’ reconstruction. we simulate the system in order to verify the feasibility of the system design, provide reference and optimize to the design of system, save time and experimental costs.

Paper Details

Date Published: 7 November 2018
PDF: 8 pages
Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108321F (7 November 2018); doi: 10.1117/12.2511488
Show Author Affiliations
Dan Li, Nanchang Univ. (China)
Qiurong Yan, Nanchang Univ. (China)
Yibing Yang, Nanchang Univ. (China)
Yifan Wang, Nanchang Univ. (China)
Zhiqiang Wang, Nanchang Univ. (China)


Published in SPIE Proceedings Vol. 10832:
Fifth Conference on Frontiers in Optical Imaging Technology and Applications
Junhao Chu; Wenqing Liu; Huilin Jiang, Editor(s)

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