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Lightweight Nighttime Pedestrian Vehicle Detection Based on RHUS-YOLOv8
Topic: Key Technologies and Applications of Internet of Vehicles | 更新时间：2025-12-16

    • Lightweight Nighttime Pedestrian Vehicle Detection Based on RHUS-YOLOv8

    • “In the field of nighttime pedestrian and vehicle detection, the RHUS-YOLOv8 algorithm improves the detection accuracy and speed, and reduces model complexity by improving the backbone network, neck network, and lightweight module.”
    • Software Guide   Vol. 24, Issue 12, Pages: 42-49(2025)

    • DOI：10.11907/rjdk.251094    

      CLC： TP183;TP391.41;U495

    • Received：21 March 2025，

      Published：15 December 2025

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  • ZHANG Yuting,YANG Guang,ZOU Li.Lightweight Nighttime Pedestrian Vehicle Detection Based on RHUS-YOLOv8[J].Software Guide,2025,24(12):42-49. DOI： 10.11907/rjdk.251094.

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