Deep Learning-Based Railway Foreign Object Intrusion Intelligent Perception Using Attention-Aggregated Semantic Segmentation

IF 6.1 1区工程技术 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE/ASME Transactions on Mechatronics Pub Date : 2024-10-16 DOI:10.1109/tmech.2024.3468620

Xiying Song, Haifeng Song, Hongwei Wang, Zixuan Zhang, Hairong Dong

引用次数: 0

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利用注意力聚合语义分割实现基于深度学习的铁路异物入侵智能感知

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE/ASME Transactions on Mechatronics 工程技术-工程：电子与电气

CiteScore

11.60

自引率

18.80%

发文量

527

审稿时长

7.8 months

期刊介绍： IEEE/ASME Transactions on Mechatronics publishes high quality technical papers on technological advances in mechatronics. A primary purpose of the IEEE/ASME Transactions on Mechatronics is to have an archival publication which encompasses both theory and practice. Papers published in the IEEE/ASME Transactions on Mechatronics disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and design through simulation and hardware and software implementation. The Transactions also contains a letters section dedicated to rapid publication of short correspondence items concerning new research results.