Journal of Applied Optics, Volume. 41, Issue 2, 296(2020)

Nighttime three-dimensional target detection of driverless vehicles based on multi-view channel fusion network

Yulan WANG1...2, Shaoyuan SUN1,2, Zhiyi LIU1,2, and Defei BU12 |Show fewer author(s)
Author Affiliations
  • 1College of Information Science and Technology, Donghua University, Shanghai 201620, China
  • 2Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, China
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    Figures & Tables(6)
    Structure diagram of multi-view channel fusion network
    Structure diagram of feature extraction module
    Structure diagram of channel fusion network
    Input infrared image and lidar point cloud
    Visualized result of detection
    • Table 1. Comparison of results for different algorithms on test sets

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      Table 1. Comparison of results for different algorithms on test sets

      算法速度/(s/帧)平均精度
      AdaBoost3.600.682
      Fast RCNN2.300.750
      Faster RCNN0.140.785
      Voxel Net0.510.857
      Our Method0.430.902
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    Yulan WANG, Shaoyuan SUN, Zhiyi LIU, Defei BU. Nighttime three-dimensional target detection of driverless vehicles based on multi-view channel fusion network[J]. Journal of Applied Optics, 2020, 41(2): 296

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    Paper Information

    Category: OE INFORMATION ACQUISITION AND PROCESSING

    Received: May. 20, 2019

    Accepted: --

    Published Online: Apr. 23, 2020

    The Author Email:

    DOI:10.5768/JAO202041.0202002

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