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Mar 15, 2023 · The method uses YOLOv4-tiny as the baseline model, selectively adds implicit knowledge used by YOLOR, and improves the loss function to enhance ...
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Download Citation | On Mar 15, 2023, Lei Ma and others published Detection of railway signal light based on improved YOLOR | Find, read and cite all the ...
Therefore, this paper proposes a railway signal lights detection method based on Yolov5 object detection model. According to the experiment results, the effecf ...
Detection of Locomotive Signal Light and pedestrians on Railway Tracks ...
ieeexplore.ieee.org › iel7
This work, for the first time, proposes a real-time detection method based on improved YOLOv4 to recognize locomotive signal light and railway pedestrians, in ...
Firstly,the image pre-processing,using HSV to separate out the redundant information of the image and then based on Otsu thresholding,improves the saliency of ...
May 31, 2024 · ... In 2022, there was YOLO V4 for detecting objects in the train line area. But all of this is able to detect the objects on the train track ...
Therefore, this paper aimed to propose an improved YOLOV5-based track personnel intrusion detection algorithm, which improves the recall rate by 14% and reduces ...
Jul 14, 2023 · In this article, the object detection method is used to directly detect the insulator defects in the images collected by the inspection vehicle.
Jun 14, 2023 · In conclusion, the upgraded YOLOX model can detect rail surface flaws with accuracy and speed, fulfilling the demands of real-time detection.
ODCS-YOLO detection algorithm for rail surface defects based on omni ...
iopscience.iop.org › article
Jul 11, 2024 · Deep learning algorithms are superior at feature extraction, enabling the detection of defect features at various scales in complex backgrounds.