• Infrared and Laser Engineering
  • Vol. 47, Issue 9, 926001 (2018)
Wang Gangyi1、*, Jin Yansheng2, Ren Guanghui3, and Liu Tong4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.3788/irla201847.0926001 Cite this Article
    Wang Gangyi, Jin Yansheng, Ren Guanghui, Liu Tong. High-performance VLSI architecture for traffic sign detection[J]. Infrared and Laser Engineering, 2018, 47(9): 926001 Copy Citation Text show less
    References

    [1] Varan S, Singh S, Sanjeev Kunte R, et al. A road traffic signal recognition system based on template matching employing tree classifier[C]//Proceedings of the International Conference on Computational Intelligence and Multimedia Applications, 2007: 360-365.

    [2] Nguwi Y Y, Cho S Y. Emergent self-organizing feature map for recognizing road sign images[J]. Neural Computing & Applications, 2010, 19(4): 601-615.

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    [5] Garcia-Garrido M A, Sotelo M A, Martin-Gorostiza E. Fast road sign detection using hough transform for assisted driving of road vehicles[C]//Proceedings of the EUROCAST Computer Aided Systems Theory, 2005: 543-548.

    [6] Barnes N, Loy G, Shaw D, et al. Regular polygon detection[C]//Proceedings of the Tenth IEEE International Conference on Computer Vision, 2005: 778-785.

    [7] Aoyagi Y, Asakura T. A study on traffic sign recognition in scene image using genetic algorithms and neural networks[C]//Proceedings of the IEEE IECON 22nd International Conference on Industrial Electronics, Control, and Instrumentation, 1996: 1838-1843.

    [8] Escalera A d l, Armingol J M, Mata M. Traffic sign recognition and analysis for intelligent vehicles[J]. Image and Vision Computing, 2003, 21(3): 247-258.

    [9] Ruta A, Li Y M, Liu X H. Real-time traffic sign recognition from video by class-specific discriminative features[J]. Pattern Recognition, 2010, 43(1): 416-430.

    Wang Gangyi, Jin Yansheng, Ren Guanghui, Liu Tong. High-performance VLSI architecture for traffic sign detection[J]. Infrared and Laser Engineering, 2018, 47(9): 926001
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