Laser Journal, Volume. 46, Issue 1, 84(2025)

Improved detection of unusual highway traffic events for YOLOv8

REN Anhu, LI Yufei, and CHEN Yang
Author Affiliations
  • School of Electronic Information Engineering, Xi'an University of Technology, Xi'an 710021, China
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    References(4)

    [2] [2] Lyu Z, Wang C, Sun X, et al. Real-time ship detection system for wave glider based on YOLOv5s-lite-CBAM model[J]. Applied Ocean Research, 2024, 144: 103833.

    [3] [3] 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. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition[C]//2023: 7464-7475.

    [4] [4] Xu H, Yao L, Zhang W, et al. Auto-fpn: Automatic network architecture adaptation for object detection beyond classification. Proceedings of the IEEE/CVF international conference on computer vision[C]//2019: 6649-6658.

    [5] [5] Liu S, Qi L, Qin H F, et al. Path Aggregation Network for Instance Segmentation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)[C]//Salt Lake City: IEEE, 2018: 8759-8768.

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    REN Anhu, LI Yufei, CHEN Yang. Improved detection of unusual highway traffic events for YOLOv8[J]. Laser Journal, 2025, 46(1): 84

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    Paper Information

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    Received: Jul. 22, 2024

    Accepted: Apr. 17, 2025

    Published Online: Apr. 17, 2025

    The Author Email:

    DOI:10.14016/j.cnki.jgzz.2025.01.084

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