Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1812006(2024)
3D Object Detection Algorithm Based on Improved YOLOv5
Fig. 2. Network structure of 3D target detection method based on improved YOLOv5 algorithm
Fig. 4. Rotating target box labeling. (a) Definition of angle of rotation; (b) schematic of angle coding
Fig. 6. Visualization of feature map. (a) RGB-Map; (b) feature map of small target layer; (c) feature map of shallow layer; (d) feature map of middle layer; (e) feature map of deep layer
Fig. 8. AP and detection speed comparison between different algorithms on KITTI dataset
Fig. 9. Comparison of detection performance between Complex-YOLO, PointPillars algorithm, and proposed algorithm
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Xueqing Sheng, Shaobin Li, Jinyan Qu, Liu Liu. 3D Object Detection Algorithm Based on Improved YOLOv5[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1812006
Category: Instrumentation, Measurement and Metrology
Received: Jan. 5, 2024
Accepted: Feb. 21, 2024
Published Online: Sep. 14, 2024
The Author Email: Shaobin Li (shbli@bjtu.edu.cn)
CSTR:32186.14.LOP240451