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识别驾驶分心方法综述

A Review of Methods for Identifying Driving Distractions
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摘要 据统计,交通意外事故已成为第二大人类死亡因素,而在这其中驾驶分心导致的意外事故占很大比例。如何对驾驶分心进行准确检测已成为国内外研究重点,本文从驾驶分心类型、识别指标和识别方法角度对驾驶分心识别进行了详细阐述,对比分析了机器学习和深度学习识别驾驶分心的优劣,为未来驾驶分心识别工作开展提供参考。 According to statistics,traffic accidents have become the second largest cause of human death,and accidents caused by driving distraction account for a large proportion.How to accurately detect driving distraction has become the focus of research at home and abroad,this paper elaborates on driving distraction recognition from the perspectives of driving distraction types,recognition indicators and recognition methods,compares and analyzes the advantages and disadvantages of machine learning and deep learning to identify driving distraction,and provides reference for future driving distraction recognition work.
作者 杨姣姣 李嘉辉 Yang Jiaojiao;Li Jiahui
出处 《时代汽车》 2023年第6期169-171,共3页 Auto Time
基金 湖北省大学生创新创业训练计划项目(编号:S202210519036)。
关键词 交通安全 驾驶分心 识别方法 机器学习 深度学习 traffic safety driving distraction recognition methods machine learning deep learning
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