首页|基于深度学习的电动车骑行者头盔检测综述

基于深度学习的电动车骑行者头盔检测综述

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随着电动车数量的增加,与电动车有关的交通事故也越来越多.由于头部伤害导致的死亡是电动车使用者的首要死因,所以佩戴安全头盔能有效保障其人身安全.针对当前国内外关于电动车骑行者头盔识别方面的研究文献较少,因此以深度学习为基础,在分析其优势和不足的基础上归纳和总结了近几年来在电动车骑行者头盔检测方面的研究成果,并对其存在的问题进行了分析和展望.
A Review of Deep Learning-Based Helmet Detection for Electric Vehicle Riders
With the increase in the number of electric vehicles(EVs),there are more and more traffic accidents related to EVs.Since death due to head injury is the primary cause of death for EV users,wearing a safety helmet can effectively protect their personal safety.Aiming at the current domestic and foreign research literature on the helmet recognition of electric vehicle riders is relatively small,therefore,based on deep learning,on the basis of analyzing its advantages and shortcomings,we summarize and summarize the research results in the helmet detection of electric vehicle riders in recent years.

deep learningtarget detectionhelmet detectionconvolutional neural network

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西南林业大学 机械与交通学院,昆明 650224

深度学习 目标检测 头盔检测 卷积神经网络

2024

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ISSN:1672-9129
年,卷(期):2024.(10)