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Acta Optica Sinica, Volume. 39, Issue 2, 0215005(2019)

Observation System of Special Vehicle Based on Perspective Display

Xiaodong Jiang1、*, Jiyan Yu1、*, Jiansen Huang2, and Likun Zhu3
Author Affiliations
  • 1 Minsterial Key Laboratory of ZNDY, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
  • 2 School of Science, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
  • 3 CETHIK Group Institute, CETHIK Group Co. Ltd., Hangzhou, Zhejiang 310012, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (22)
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    Figures & Tables(22)
    Working principle of PSD sensor

    Fig. 1. Working principle of PSD sensor

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    Relations of transformation in coordinate system

    Fig. 2. Relations of transformation in coordinate system

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    Relation of inertial attitude sensing axis

    Fig. 3. Relation of inertial attitude sensing axis

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    Structure of outboard observation system based on visual display

    Fig. 4. Structure of outboard observation system based on visual display

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    Design of PSD signal processing circuit

    Fig. 5. Design of PSD signal processing circuit

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    Flow of complementary fusion filtering algorithm for helmet attitude angle

    Fig. 6. Flow of complementary fusion filtering algorithm for helmet attitude angle

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    Helmet perspective solution principle

    Fig. 7. Helmet perspective solution principle

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    Design diagram of optical system for perspective display

    Fig. 8. Design diagram of optical system for perspective display

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    Schematic of ZEMAX's equivalent optical design

    Fig. 9. Schematic of ZEMAX's equivalent optical design

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    Effect of distortion correction. (a) Image before distortion correction; (b) image after distortion correction

    Fig. 10. Effect of distortion correction. (a) Image before distortion correction; (b) image after distortion correction

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    Overall structure diagram of hardware acceleration process of image feature calculation and registration based on Zynq SoC processor

    Fig. 11. Overall structure diagram of hardware acceleration process of image feature calculation and registration based on Zynq SoC processor

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    Hardware circuit implementation of Gaussian filtering. (a) Hardware circuit structure; (b) window function of Gaussian filter

    Fig. 12. Hardware circuit implementation of Gaussian filtering. (a) Hardware circuit structure; (b) window function of Gaussian filter

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    Original image and effect of Gaussian filtering image. (a) Original image; (b) image filtered by Gaussian filter

    Fig. 13. Original image and effect of Gaussian filtering image. (a) Original image; (b) image filtered by Gaussian filter

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    Schematic diagram of Gaussian scale pyramid and differential Gaussian pyramid

    Fig. 14. Schematic diagram of Gaussian scale pyramid and differential Gaussian pyramid

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    Schematic of hardware circuit for parallel detection

    Fig. 15. Schematic of hardware circuit for parallel detection

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    Effect of image feature points and direction determination. (a) Original image; (b) characteristic image

    Fig. 16. Effect of image feature points and direction determination. (a) Original image; (b) characteristic image

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    Flow chart of hardware realization for electronic image stabilization based on image features

    Fig. 17. Flow chart of hardware realization for electronic image stabilization based on image features

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    Flow chart of hardware realization for image registration and fusion processing

    Fig. 18. Flow chart of hardware realization for image registration and fusion processing

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    Experimental results of hardware realization for image feature matching and fusion. (a) Left image; (b) right image; (c) schematic diagram of image feature matching and fusion

    Fig. 19. Experimental results of hardware realization for image feature matching and fusion. (a) Left image; (b) right image; (c) schematic diagram of image feature matching and fusion

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    • Table 1. Experimental results of position detection, attitude sensing and perspective

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      Table 1. Experimental results of position detection, attitude sensing and perspective

      NumberPreset viewMeasure viewError analysis
      Direction angle /(°)Pitch angle /(°)Direction angle /(°)Pitch angle /(°)Direction angle error /(°)Pitch angle error /(°)
      10.0-35.00.5-34.60.50.4
      245.0-10.045.1-10.40.10.4
      360.0+15.059.6+14.90.40.1
      490.0+27.089.7+27.80.30.8
      5120.0+12.0119.8+12.30.20.3
      6330.0-21.0330.4-21.70.40.7
      7315.0-16.0314.8-16.90.20.9
      8300.0+23.0300.4+23.60.40.6
      9270.0+19.0270.6-19.70.60.7
      10240.0+3.0230.9+3.80.90.8

    • Table 2. Experiment results of image feature extraction and time-consuming comparison

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      Table 2. Experiment results of image feature extraction and time-consuming comparison

      NumberPC with opencv 2.4.10Zynq SoCCharacteristic overlap /%
      Number of feature pointsTime consuming /msNumber of feature pointsTime consuming /ms
      15961268.55693.691.68
      27691568.77305.690.65
      34391139.44163.292.34

    • Table 3. Experimental results of electronic image stabilization

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      Table 3. Experimental results of electronic image stabilization

      Image typeFeature matching rate of adjacent images≥50% /%Feature matching rate of adjacent images<50% /%
      With electronic image stabilization80.3419.66
      Original image56.3943.61
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    Xiaodong Jiang, Jiyan Yu, Jiansen Huang, Likun Zhu. Observation System of Special Vehicle Based on Perspective Display[J]. Acta Optica Sinica, 2019, 39(2): 0215005

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    Paper Information

    Category: Machine Vision

    Received: Jul. 30, 2018

    Accepted: Sep. 25, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0215005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology