Intelligent Driver Assistant System: A survey
Jothi K R1 , Varun D Suvarna2 , Yash Aggarwal3
Section:Survey Paper, Product Type: Journal Paper
Volume-7 ,
Issue-3 , Page no. 848-853, Mar-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i3.848853
Online published on Mar 31, 2019
Copyright © Jothi K R, Varun D Suvarna, Yash Aggarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Jothi K R, Varun D Suvarna, Yash Aggarwal, “Intelligent Driver Assistant System: A survey,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.848-853, 2019.
MLA Style Citation: Jothi K R, Varun D Suvarna, Yash Aggarwal "Intelligent Driver Assistant System: A survey." International Journal of Computer Sciences and Engineering 7.3 (2019): 848-853.
APA Style Citation: Jothi K R, Varun D Suvarna, Yash Aggarwal, (2019). Intelligent Driver Assistant System: A survey. International Journal of Computer Sciences and Engineering, 7(3), 848-853.
BibTex Style Citation:
@article{R_2019,
author = {Jothi K R, Varun D Suvarna, Yash Aggarwal},
title = {Intelligent Driver Assistant System: A survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {848-853},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3926},
doi = {https://doi.org/10.26438/ijcse/v7i3.848853}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.848853}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3926
TI - Intelligent Driver Assistant System: A survey
T2 - International Journal of Computer Sciences and Engineering
AU - Jothi K R, Varun D Suvarna, Yash Aggarwal
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 848-853
IS - 3
VL - 7
SN - 2347-2693
ER -
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Abstract
India is home to one of the most underpaid yet overworking drivers. Transporters expect them to work at least twenty hours straight without any consideration to their health. Due to this the drivers are often tired and often on the verge of fatigue. This leads them to have bursts of micro-sleep: a temporary episode of sleepiness which may last for a smidgen of a second or up to thirty seconds, where the victim fails to react to some stimulus from the environment and becomes unconscious. As a result of this, road accidents have become a common occurrence in India. One solution to this problem is to enhance the vehicles to an extent, so that it’s possible to find out the level of drowsiness of the driver in real time. In this paper, we conduct a survey to find various methods for detecting driver’s drowsiness condition.
Key-Words / Index Term
Driver Assistant System, Road Accident, Drowsiness, micro-sleep, Image Processing, driver yawning
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