• Laser & Optoelectronics Progress
  • Vol. 62, Issue 2, 0237005 (2025)
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
  • show less
    DOI: 10.3788/LOP241187 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [2] Yu H B, Luo Y Z, Shu M et al. DAIR-V2X: a large-scale dataset for vehicle-infrastructure cooperative 3D object detection[C], 21329-21338(2022).

    [4] Denman S, Chandran V, Sridharan S. An adaptive optical flow technique for person tracking systems[J]. Pattern Recognition Letters, 28, 1232-1239(2007).

    [5] Zhang X G, Liang L H, Huang Q et al. An efficient coding scheme for surveillance videos captured by stationary cameras[J]. Proceedings of SPIE, 7744, 77442A(2010).

    [6] Mandellos N A, Keramitsoglou I, Kiranoudis C T. A background subtraction algorithm for detecting and tracking vehicles[J]. Expert Systems with Applications, 38, 1619-1631(2011).

    [7] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

    [8] Girshick R. Fast R-CNN[C], 1440-1448(2015).

    [9] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [10] Liu W, Anguelov D, Erhan D et al. SSD: single shot multibox detector[M]. Computer vision-ECCV 2016, 9905, 21-37(2016).

    [11] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

    [12] Wang C Y, Bochkovskiy A, Liao H Y M. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C], 7464-7475(2023).

    [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).

    [15] Huang L, Huang W Z. RD-YOLO: an effective and efficient object detector for roadside perception system[J]. Sensors, 22, 8097(2022).

    [16] Liu W T, Zhou B, Wang Z Y et al. FPPNet: a fixed-perspective-perception module for small object detection based on background difference[J]. IEEE Sensors Journal, 23, 11057-11069(2023).

    [17] Zhang Y, Zhu G Y, Shi T J et al. Small object detection in remote sensing images based on feature fusion and attention[J]. Acta Optica Sinica, 42, 2415001(2022).

    [18] Zhang X Z, Shen T, Xu D. Remote-sensing image object detection based on improved YOLOv8 algorithm[J]. Laser & Optoelectronics Progress, 61, 1028001(2024).

    [19] Ding X H, Zhang X Y, Han J G et al. Diverse branch block: building a convolution as an inception-like unit[C], 10881-10890(2021).

    [20] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C](2015).

    [21] Kang M, Ting C M, Ting F F et al. ASF-YOLO: a novel YOLO model with attentional scale sequence fusion for cell instance segmentation[EB/OL]. http:∥arxiv.org/abs/2312.06458v2

    [22] Dai X Y, Chen Y P, Xiao B et al. Dynamic head: unifying object detection heads with attentions[C], 7369-7378(2021).

    [23] Wang J W, Xu C, Yang W et al. A normalized Gaussian Wasserstein distance for tiny object detection[EB/OL]. http:∥arxiv.org/abs/2110.13389v2

    [24] Yu H B, Yang W X, Ruan H Z et al. V2X-seq: a large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting[C], 5486-5495(2023).

    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
    Download Citation