Acta Optica Sinica, Volume. 41, Issue 20, 2028001(2021)

Lidar Echo Scene Generation Optimization Based on Similarity Evaluation

Jiaojiao Wang1,2, Xin Wang1,2、*, Yanze Gao1,2, Zhuo Li1,2, Suhui Yang1,2, and Jinying Zhang1,2
Author Affiliations
  • 1School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing 100081, China
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    Lidar echo scene generation, based on three-dimensional scene construction and laser scattering principle, can be used to simulate the laser echo characteristics of real scenes and is an important means for testing the performance of laser array detector. To efficiently generate dynamic scene with high simulation accuracy, an adoption degree composed of the simulation similarity of laser echo scene and scene calculation time is constructed and used as the evaluation function. The spatial mesh number of laser echo scenes is thereby optimized. For an area array detector with 128×128 elements, the proposed method is used to optimize the number of spatial meshes of laser echos in two experimental scenes with different materials and distances. When subdivision number of the detector single pixel is 3×3 and the total number of spatial meshes is 384×384×L (L is subdivision number determined by distance accuracy), the adoption degree reaches the maximum values. The average generation time of each frame scene is less than 8 ms, and the dynamic scene generation with high frame rate (125 Hz) and high fidelity is realized. The theoretical and experimental results show that this method can balance the similarity of the generated echo scene and computing resource consumption when the computing resources are limited, and it is a practical optimization method for three-dimensional laser echo scene generation.

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    Jiaojiao Wang, Xin Wang, Yanze Gao, Zhuo Li, Suhui Yang, Jinying Zhang. Lidar Echo Scene Generation Optimization Based on Similarity Evaluation[J]. Acta Optica Sinica, 2021, 41(20): 2028001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Mar. 8, 2021

    Accepted: May. 6, 2021

    Published Online: Sep. 30, 2021

    The Author Email: Wang Xin (wangxin@bit.edu.cn)

    DOI:10.3788/AOS202141.2028001

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