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Article

5 Citations

1,860 Views

18 Pages

Boosting the Response of Object Detection and Steering Angle Prediction for Self-Driving Control

Bao Rong Chang,
Hsiu-Fen Tsai and
Fu-Yang Chang

Electronics2023, 12(20), 4281;https://doi.org/10.3390/electronics12204281

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16 October 2023

Our previous work introduced the LW-YOLOv4-tiny and the LW-ResNet18 models by replacing traditional convolution with the Ghost Conv to achieve rapid object detection and steering angle prediction, respectively. However, the entire object detection an...

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Article

314 Citations

22,043 Views

13 Pages

A Real-Time Detection Algorithm for Kiwifruit Defects Based on YOLOv5

Jia Yao,
Jiaming Qi,
Jie Zhang,
Hongmin Shao,
Jia Yang and
Xin Li

Electronics2021, 10(14), 1711;https://doi.org/10.3390/electronics10141711

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17 July 2021

Defect detection is the most important step in the postpartum reprocessing of kiwifruit. However, there are some small defects difficult to detect. The accuracy and speed of existing detection algorithms are difficult to meet the requirements of real...

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Article

16 Citations

3,542 Views

17 Pages

A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm

Ziyu Zhao,
Zhedong Ge,
Mengying Jia,
Xiaoxia Yang,
Ruicheng Ding and
Yucheng Zhou

Sensors2022, 22(20), 7733;https://doi.org/10.3390/s22207733

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12 October 2022

Particleboard surface defects have a significant impact on product quality. A surface defect detection method is essential to enhancing the quality of particleboard because the conventional defect detection method has low accuracy and efficiency. Thi...

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