自动驾驶辅助系统的计算机视觉方法

M. Keerthana, M. S. Vishnu Prasath, S. K. Yaswanthkumar
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引用次数: 4

摘要

本文提出了一种解决道路交通事故问题的方法。考虑到今天的情况,预防交通事故中的死亡是当务之急。目的是解决这个问题,如何设计和电子系统,可以防止道路交通事故,以挽救人们的生命。根据最近的调查,重大事故是由于疏忽造成的,并且经常导致高速公路和高速公路在换道过程中发生事故。因此,该系统能够通过面部标记来检测驾驶员的困倦状态,并通过霍夫变换来跟踪正确的车道内驾驶。这两个因素都将在整个旅程中受到监控,并在检测到任何嗜睡或不当车道驾驶时通知驾驶员。因此,提出的系统是一个可行的和可行的解决方案,设计一个新颖的,可改装的和负担得起的驾驶员辅助系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Computer Vision Approach for Automated Driver Assistance System
In this paper, an approach which address the problem of Road Accidents has been addressed. Considering today’s situation, preventing fatalities during road accidents is the need of the hour. The aim is to address the problem, how could a devise and electronic system that could prevent road accidents in order to save peoples life. According to recent surveys, major accidents are caused only due to negligence and frequently leads to accidents in highways and freeways during lane switching. Thus, this devised system has the ability to detect driver’s drowsiness using facial landmarking and tracks proper in-lane driving using Hough transform. Both these factors are to be monitored all through-out the journey and notifies the driver if any drowsiness or improper lane driving is detected. Hence, the proposed system is a feasible and viable solution to devise a novel, retro-fittable & affordable driver assistance system.
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