Improved RT-DETR Framework for Railway Obstacle Detection

Obstacle intrusion detection in railway systems is a critical technology for ensuring the operational safety of trains. However, existing algorithms face challenges related to insufficient multiscale object detection, high model redundancy, and poor real-time performance. Building upon the RT-DETR f...

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Autors principals:	Peng Li, Yanhui Peng, Su-Mei Wang, Cheng Zhong
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Convolutional neural network (CNN) deep learning obstacle intrusion detection railway traffic transformer
Accés en línia:	https://ieeexplore.ieee.org/document/11080059/
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