Improved RT-DETR Framework for Railway Obstacle Detection

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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Bibliographic Details
Main Authors: Peng Li, Yanhui Peng, Su-Mei Wang, Cheng Zhong
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
deep learning
obstacle intrusion detection
railway traffic
transformer
Online Access:https://ieeexplore.ieee.org/document/11080059/
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