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
收藏
页码：14479 / 14497
页数：19
相关论文
共 50 条
  • [1] Driving to safety: real-time danger spot and drowsiness monitoring system
    Vijay Kumar
    Hoang Pham
    Praveen Kumar Pandey
    Abhishek Goel
    Soft Computing, 2021, 25 : 14479 - 14497
  • [2] Bright Pupil Detection in an Embedded, Real-time Drowsiness Monitoring System
    Vitabile, Salvatore
    De Paola, Alessandra
    Sorbello, Filippo
    2010 24TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 2010, : 661 - 668
  • [3] Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor
    Tada, Masahiro
    Nishida, Masayuki
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2024, E107D (07) : 901 - 907
  • [4] Real-time driving danger-level prediction
    Wang, Jinjun
    Xu, Wei
    Gong, Yihong
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2010, 23 (08) : 1247 - 1254
  • [5] Real-time monitoring system for resistance spot welding quality
    Wen, Jing
    Jia, Hongde
    ENGINEERING RESEARCH EXPRESS, 2023, 5 (01):
  • [6] A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration
    You, Feng
    Li, Xiaolong
    Gong, Yunbo
    Wang, Haiwei
    Li, Hongyi
    IEEE ACCESS, 2019, 7 : 179396 - 179408
  • [7] Drowsiness Monitoring in Real-time based on Supervised Descent Method
    Neshov, Nikolay
    Manolova, Agata
    PROCEEDINGS OF THE 2017 9TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS), VOL 2, 2017, : 660 - 663
  • [8] Real-time monitoring of drowsiness through wireless nanosensor systems
    Ramasamy, Mouli
    Varadan, Vijay K.
    NANOSENSORS, BIOSENSORS, AND INFO-TECH SENSORS AND SYSTEMS 2016, 2016, 9802
  • [9] Real-Time Drowsiness Detection System for an Intelligent Vehicle
    Javier Flores, Marco
    Maria Armingol, Jose
    de la Escalera, Arturo
    2008 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2008, : 1 - +
  • [10] Development of a real-time drowsiness warning system based on an embedded system
    Lin, Chih-Jer
    Ding, Chih-Hao
    Liu, Chung-Chi
    Liu, Ying-Lung
    2015 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND INTELLIGENT SYSTEMS (ARIS), 2015,
12345