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
- Laser & Optoelectronics Progress
- Vol. 62, Issue 2, 0237005 (2025)
Fig. 1. Architecture diagram of MQ-YOLO algorithm
Fig. 2. Architecture diagram of D_C2f module
Fig. 3. Architecture diagram of triple feature encoder module and scale sequence feature fusion module
Fig. 4. Architecture diagram of DyDetect module
Fig. 5. Visualization results of DAIR-V2X-I dataset. (a) Category and quantity of labels; (b) distribution of center position of detection target; (c) distribution of width and height of label
Fig. 6. Object detection results of DAIR-V2X-I dataset. (a) Dense occlusion scene; (b) small target scene; (c) night scene
Fig. 7. Object detection results of the DAIR-V2X-SPD-I dataset. (a) Dense occlusion scene; (b) small target scene; (c) rainy scene
Fig. 8. Roadside object detection system. (a) System deployment location; (b) system architecture; (c) visual interface
Fig. 9. Experimental results of roadside object detection system. (a) Sunny scene; (b) rainy scene; (c) night scene
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Table 1. Ablation experiments on DAIR-V2X-I dataset
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Table 2. Comparison of detection results of different algorithms on DAIR-V2X-I dataset
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Table 3. Comparison of detection results of different algorithms on DAIR-V2X-SPD-I dataset
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