Driving to safety: real-time danger spot and drowsiness monitoring system

被引：1

作者：

Kumar, Vijay ^{[1
]}

Pham, Hoang ^{[2
]}

Pandey, Praveen Kumar ^{[3
]}

Goel, Abhishek ^{[3
]}

机构：

[1] Amity Univ, Amity Inst Appl Sci, Dept Math, Noida 201301, India

[2] Rutgers State Univ, Dept Ind & Syst Engn, New Brunswick, NJ 08854 USA

[3] Amity Sch Engn & Technol, Dept Comp Sci & Engn, Delhi, India

来源：

SOFT COMPUTING | 2021年 / 25卷 / 23期

关键词：

Drowsiness detection; Eye aspect ratio; GPS-global positioning system; Potholes; Harsh braking region; Sharp turns; Alert system; Driving aid; POTHOLES;

D O I：

10.1007/s00500-021-06381-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Development of safety features to prevent accident on the roads is one of the major challenges in the automobile industry. Driving with no prior information about the upcoming road can be dangerous. Not knowing about what's coming down the road can disbalance the vehicle and lead to accident. Driving when tired or drunk can lead to major life risking accidents. The road accidents can be prevented by collecting the data of road's characteristics and providing an alert to the driver if any distraction comes in the way. This paper introduces a concept of real-time monitoring of the driver and generating an alert when the driver gets sleepy or unconscious. Road analysis was also done to classify spots with high possibility of accidents and alerts generated for the same. The system thus covers two major reasons which cause heavy accidents on the road and provides solution to overcome them.

引用

下载

页码：14479 / 14497

页数：19

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