Projects

  1. summary image

    Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network

    Yousef Atoum, Joseph Roth, Michael Bliss, Wende Zhang, Xiaoming Liu

    This paper presents a monocular camera-based computer vision system for autonomous selfbacking-up a vehicle towards a trailer, by continuously estimating the 3D trailer coupler position and feeding it to the vehicle control system, until the alignment of the tow hitch with the trailers coupler. This system is made possible through ...

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    Keywords: Application, Object Detection

Publications

2017

  • Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network
    Yousef Atoum, Joseph Roth, Michael Bliss, Wende Zhang, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | Project Webpage
  • @inproceedings{ monocular-video-based-trailer-coupler-detection-using-multiplexer-convolutional-neural-network,
      author = { Yousef Atoum and Joseph Roth and Michael Bliss and Wende Zhang and Xiaoming Liu },
      title = { Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }

2002

  • Principle Component Analysis and its Variants for Biometrics
    Tsuhan Chen, Yu-Feng Hsu, Xiaoming Liu, Wende Zhang
    Proc. IEEE International Conference on Image Processing (ICIP 2002), Rochester, NY, Sep. 2002
    Bibtex | PDF
  • @inproceedings{ principle-component-analysis-and-its-variants-for-biometrics,
      author = { Tsuhan Chen and Yu-Feng Hsu and Xiaoming Liu and Wende Zhang },
      title = { Principle Component Analysis and its Variants for Biometrics },
      booktitle = { Proc. IEEE International Conference on Image Processing },
      address = { Rochester, NY },
      month = { September },
      year = { 2002 },
    }