Infrared and Laser Engineering, Volume. 51, Issue 6, 20210446(2022)

Front vehicle detection based on multi-sensor information fusion

Pengfei Jia1... Quanzhou Liu1, Kai Peng2,*, Zhanqi Li1, Qipei Wang1 and Yiding Hua1 |Show fewer author(s)
Author Affiliations
  • 1CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300, China
  • 2School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
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    Figures & Tables(10)
    Network structure diagram of improved SSD algorithm
    Scale distribution graph of candidate boxes
    (a) Long focal length image; (b) Short focal length image; (c) Image with fusion processed; (d) Partial image without fusion processing; (e) Partial image with fusion processed
    (a) Collected vehicle pictures; (b) Improved SSD algorithm for vehicle detection result in complex environment
    (a) Radar detection results in dynamic target simulation; (b) Influence of Lifetime parameters on radar detection results
    Installation location of camera and radar on real vehicle
    (a) Experimental picture; (b) Data collection
    (a) Data interaction between camera and radar;(b) Vehicle test results
    • Table 1. Image residuals and overall errors of calibration results

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      Table 1. Image residuals and overall errors of calibration results

      Calibration method Total sample size X direction image residual mean/pixel Residual variance of the X-direction image Y direction image residual mean/pixel Residual variance of the Y-direction image Total error per pixel
      Traditional joint calibration1 0000.23640.09820.28630.09920.3712
      Proposed method1 0000.18520.05680.19830.06130.2713
    • Table 2. Comparison table of vehicle detection accuracy

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      Table 2. Comparison table of vehicle detection accuracy

      WeatherVehicle number Detection accuracy of Ladar Detection accuracy of vision Detection accuracy of information fusion Fusion false detection rate
      Sunny332886.3%87.2%95.3%0.3%
      Cloudy189688.5%83.6%93.8%0.4%
      Night (Illumination)127589.2%80.4%91.7%0.6%
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    Pengfei Jia, Quanzhou Liu, Kai Peng, Zhanqi Li, Qipei Wang, Yiding Hua. Front vehicle detection based on multi-sensor information fusion[J]. Infrared and Laser Engineering, 2022, 51(6): 20210446

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    Paper Information

    Category: Image processing

    Received: Nov. 10, 2021

    Accepted: --

    Published Online: Dec. 20, 2022

    The Author Email: Peng Kai (798235658@qq.com)

    DOI:10.3788/IRLA20210446

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