Journal of Applied Optics, Volume. 46, Issue 2, 300(2025)

Lightweight traffic sign detection based on RT-DETR

Haolong XIE1... Xiaolong ZHANG1,2,*, Peixu WEI1 and Chuanjin CUI1 |Show fewer author(s)
Author Affiliations
  • 1College of Electrical Engineering, North China University of Science and Technology, Tangshan 063200, China
  • 2Zhejiang Yaoheng Optoelectronic Technology Co.,Ltd., Hangzhou 311600, China
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    References(20)

    [3] X WU, Z WEI, Y HU et al. Traffic sign detection method using multi-color space fusion, 314-319(2020).

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    [7] A S PRAKASH, D VIGNESHWARAN, R S AYYALU et al. Traffic sign recognition using deeplearning for autonomous driverless vehicles, 1569-1572(2021).

    [8] Z HE, Z XIAO, Z YAN. Traffic sign recognition based on convolutional neural network model, 155-158(2020).

    [9] Q ZHANG, Y SHEN, Z YI. Video-based traffic sign detection and recognition. SPIE, 11321, 284-291(2019).

    [10] Xiru WU, Taotao QIU, Yaonan WANG. Fast multi-object detection and segmentation of traffic scene based on improved mask R-CNN. Chinese Journal of Scientific Instrument, 42, 242-249(2021).

    [12] N CARION, F MASSA, G SYNNAEVE et al. End-to-end object detection with transformers, 213-229(2020).

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    [18] M TAN, R PANG, Q V LE. Efficientdet: scalable and efficient object detection, 10781-10790(2020).

    [20] X GLOROT, A BORDES, Y BENGIO. Deep sparse rectifier neural networks. Journal of Machine Learning Research, 15, 315-323(2011).

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    Haolong XIE, Xiaolong ZHANG, Peixu WEI, Chuanjin CUI. Lightweight traffic sign detection based on RT-DETR[J]. Journal of Applied Optics, 2025, 46(2): 300

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    Paper Information

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    Received: Dec. 21, 2023

    Accepted: --

    Published Online: May. 13, 2025

    The Author Email: Xiaolong ZHANG (张孝龙)

    DOI:10.5768/JAO202546.0202002

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