Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0237005(2025)

Roadside Object Detection Algorithm Based on Multiscale Sequence Fusion

Ruoying Liu1,2,3、*, Miaohua Huang1,2,3, Liangzi Wang1,2,3, Yongkang Hu1,2,3, and Ye Tao1,2,3
Author Affiliations
  • 1Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, Hubei , China
  • 2Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, Hubei , China
  • 3Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, Hubei , China
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    References(22)

    [13] Li K, Lin Y S, Wu X L et al. Small target vehicle detection based on multi-scale fusion technology and attention mechanism[J]. Journal of Zhejiang University (Engineering Science), 56, 2241-2250(2022).

    [14] Cheng K L, Hu X B, Chen H J et al. Remote sensing object detection based on improved YOLOv5s[J]. Laser & Optoelectronics Progress, 61, 2028004(2024).

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    Ruoying Liu, Miaohua Huang, Liangzi Wang, Yongkang Hu, Ye Tao. Roadside Object Detection Algorithm Based on Multiscale Sequence Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0237005

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    Paper Information

    Category: Digital Image Processing

    Received: Apr. 28, 2024

    Accepted: May. 20, 2024

    Published Online: Jan. 7, 2025

    The Author Email:

    DOI:10.3788/LOP241187

    CSTR:32186.14.LOP241187

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