首页|基于深度学习的铁路异物检测综述

基于深度学习的铁路异物检测综述

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铁路异物检测对铁路安全至关重要,深度学习是铁路异物检测领域安全监测的重要技术.基于此,首先,介绍了基于深度学习的铁路异物检测方法,将铁路异物的深度学习算法进行介绍与比较;其次,从深度学习方面对铁路异物检测现状进行综述;最后,总结了现有模型的鲁棒性和小目标检测的问题,并提出展望.
A Review of Railway Foreign Object Detection Based on Deep Learning
Railway foreign object detection is crucial to railway safety,and Deep Learning is an important technol-ogy for safety monitoring in the field of railway foreign object detection.In this regard,the railway foreign object detection method based on Deep Learning is introduced,and the deep learning algorithm of railway foreign object detection is introduced and compared;Secondly,the current situation of railway foreign object detection is summa-rized from the aspect of Deep Learning.The problems of robustness and small target detection of existing models are summarized,and prospects are proposed.

Railway foreign objectTarget detectionDeep LearningMachine vision

蔡政达、陈跃、邱启源

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西华大学 四川成都 610039

铁路异物 目标检测 深度学习 机器视觉

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(19)
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