A Novel Approach to Enhance Safety on Drowsy Driving in Self-Driving Car

被引:0
|
作者
Md. Motaharul Islam
Ibna Kowsar
Mashfiq Shahriar Zaman
Md. Fahmidur Rahman Sakib
Nazmus Saquib
Syed Md. Shamsul Alam
机构
[1] United International University,Computer Science and Engineering
[2] BRAC University,undefined
来源
关键词
Driver drowsiness; Safe parking space; Autonomous vehicle; Yawning; Gaze detection; Eye aspect ratio;
D O I
暂无
中图分类号
学科分类号
摘要
Drowsy driving centric accidents are increasing at a frightening rate. Needless to say that the state-of-the-art technologies only have competencies in detecting drowsiness and alerting the drowsy driver. Existing methods have some remarkable hindrances in the domain of handling the distressed situation. Therefore these methodologies are ineffective to take additional safety measures if the driver is not proficient enough to operate the vehicle even though an alarm is given. Consequently, after evaluating the existing methodologies and the growth of autonomous vehicles, we have proposed an innovative approach that detects driver drowsiness in real-time. Our suggested model can locate a nearest available safe parking space and reach the parking location after initiating the autonomous driving mode to ensure safety. The proposed methodology has achieved an accuracy of 98%.
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页码:272 / 284
页数:12
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