Paper
7 November 2018 Design and simulation of first-photon 3D lidar
Author Affiliations +
Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 108321F (2018) https://doi.org/10.1117/12.2511488
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China
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.
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Dan Li, Qiurong Yan, Yibing Yang, Yifan Wang, and Zhiqiang Wang "Design and simulation of first-photon 3D lidar", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108321F (7 November 2018); https://doi.org/10.1117/12.2511488
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KEYWORDS
Reflectivity

Monte Carlo methods

LIDAR

Photon counting

Photodetectors

Pulsed laser operation

3D acquisition

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