分心司机姿势识别

V. B. Shankar, S. Thangam
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引用次数: 0

摘要

司机干扰极大地影响了个人的安全,这是各种应用的相关主题,从独立驾驶帮助到保险代理和考试。我们通过利用深度学习和卷积大脑组织来解决程序识别驾驶员中断的问题。评估是在州立牧场数据集上完成的,该数据集由26名受试者进行的10种不同的活动组成,例如,普通驾驶,发短信,电话聊天,收音机工作,饮酒,到达后面等等。在精密交通结构的学科中,最困难的问题之一是对驾驶员指令的程序化理解。本文研究了人类发展承认系统的一个特征——转向司机姿态承认。各种各样的挡泥板弯曲被认为是由于占用司机。我们的目标是沿着识别司机的转向发展的展览前进。被占用的思维过程强迫的行为方式包括发信息、打电话、听收音机、消费、完成任务、整理头发和化妆品、和旅行者交谈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distracted Driver Posture Recognition
Driver interruption incredibly affects the security of individuals &it is a pertinent theme for various applications, from independent driving help to insurance agency &examinations. We address the issue of programmed acknowledgment of driver interruptions by taking advantage of profound learning & convolutional brain organizations. Assessment has been done on the State Ranch dataset, which comprises of 10 dis-tinct activities performed by 26 subjects, for example, ordinary driving, messaging, chatting on the telephone, working the radio, drinking, arriving at behind, &so forth. One of the most difficult points inside the discipline of canny transportation structures is the programmed understanding of the driver's direct. This examination researches diverted driver pose acknowledgment as a feature of the human development acknowledgment system. Various fender benders were accounted for that were as a consequence of occupied drivers. Our goal became to move along the exhibition of identifying drivers' diverted developments. The occupied thought process force ways of behaving include messaging, talk me at the phone, working the radio, consuming, achieving toward the rear of, fixing hair &cosmetics, &talk me to the traveler.
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