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基于深度学习的电动车骑行者头盔检测综述

徐群子 徐国栋

数码设计Issue(10):64-67,4.
数码设计Issue(10):64-67,4.

基于深度学习的电动车骑行者头盔检测综述

A Review of Deep Learning-Based Helmet Detection for Electric Vehicle Riders

徐群子 1徐国栋1

作者信息

  • 1. 西南林业大学 机械与交通学院,昆明 650224
  • 折叠

摘要

Abstract

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.

关键词

深度学习/目标检测/头盔检测/卷积神经网络

Key words

deep learning/target detection/helmet detection/convolutional neural network

分类

交通工程

引用本文复制引用

徐群子,徐国栋..基于深度学习的电动车骑行者头盔检测综述[J].数码设计,2024,(10):64-67,4.

数码设计

1672-9129

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