• Laser & Optoelectronics Progress
  • Vol. 59, Issue 17, 1722001 (2022)
Yizhen Zhu, Shunyao Li, Shuangmu Zhuo, and Lan Yang*
Author Affiliations
  • College of Science, Jimei University, Xiamen 361021, Fujian , China
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    DOI: 10.3788/LOP202259.1722001 Cite this Article Set citation alerts
    Yizhen Zhu, Shunyao Li, Shuangmu Zhuo, Lan Yang. Designing Optical Systems for Close-Distance Vehicle Lenses in Target Recognition[J]. Laser & Optoelectronics Progress, 2022, 59(17): 1722001 Copy Citation Text show less

    Abstract

    A close-distance vehicle front-view Tessar lens with strong distinguishability and broad field of view was designed based on artificial intelligence target recognition. Using ZEMAX software, parameter optimization design is carried out by controlling geometric aberrations such as field curvature and distortion. When the designed lens has F-number of 3.4, focal length of 6 mm, maximum field of view of 50°, and depth of field of 10 m, the modulation transfer function of the entire field of view at the spatial frequency of 107 lp/mm is higher than 0.65, and the distortion is less than 0.305%, which meets the design requirements. According to the Monte Carlo study, the tolerances are within the machinable range, making them suitable for conventional production and assembly.
    Yizhen Zhu, Shunyao Li, Shuangmu Zhuo, Lan Yang. Designing Optical Systems for Close-Distance Vehicle Lenses in Target Recognition[J]. Laser & Optoelectronics Progress, 2022, 59(17): 1722001
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