Real-Time Object Detection for the Running Train Based on the Improved YOLO V4 Neural Network

Real-Time Object Detection for the Running Train Based on the Improved YOLO V4 Neural Network

Matching the detection speed and accuracy in practical applications is considered to improve the speed of video object detection in front of trains. Lightweight convolutional neural network MobileNet and clustering ideas are combined to improve the object detection algorithm, and the MYOLO-lite mode...

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Bibliographic Details
Main Authors: Yang Liu, Mengfei Gao, Humin Zong, Xinping Wang, Jinshuang Li
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/4377953
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