Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel

Huthaifa Ahmad Al_Issa

doi:doi:10.11648/j.ajnc.20150401.12

| Peer-Reviewed

Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel

Huthaifa Ahmad Al_Issa

Published in American Journal of Networks and Communications (Volume 4, Issue 1)

Received: 10 February 2015 Accepted: 5 March 2015 Published: 13 March 2015

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

This paper proposes architecture for detecting accidents system based on image processing techniques for emergency case in tunnel, as well as the technical challenges that had to be overcome to ensure that technology successfully operated under all conditions. The advantages of this method include such benefits as Non-use of sensors, low cost and easy setup and relatively good accuracy and speed. Because this method has been implemented using image processing and MATLAB software, production costs are low while achieving high speed and accuracy. Method presented in this research is simple and there is no need to use sensors that have been commonly used to detect traffic in the past. This research can be enhanced by helping out the driver assistance system, this is accomplished by informing the public traffic about accidents in specific areas so that they can avoid those routes.

Published in	American Journal of Networks and Communications (Volume 4, Issue 1)
DOI	10.11648/j.ajnc.20150401.12
Page(s)	5-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Driver Assistance System, Video Image Processing, Traffic Safety

References

[1]	HunjaeYoo; Ukil Yang; KwanghoonSohn "Gradient-Enhancing Conversion for Illumination-Robust Lane Detection", Intelligent Transportation Systems, IEEE Transactions on, On page(s): 1083 - 1094 Volume: 14, Issue: 3, Sept. 2013
[2]	Farrell, J.A. Givargis, T.D. Barth, M.J. "Realtime differential carrier phase GPS-aided INS".IEEE Transactions on Control Systems Technology,2000,8 (4):709-720.
[3]	A. López, C. Caņero, J. Serrat, J. Saludes, F. Lumbreras, and T. Graf, "Detection of Lane Markings based on Ridgeness and RANSAC," IEEE Conference on Intelligent Transportation Systems, 2005, pp. 733-738.
[4]	B. F. Wu, C. J. Chen, Y. P. Hsu, and M. W. Chung, "A DSP-based lane departure warning system," in Mathematical Methods and Computational Techniques in Electrical Engineering, Proc. 8th WSEASInt. Conf. Bucharest, 2006, pp. 240-245
[5]	M. J. Jeng, P. C. Hsueh, C. W. Yeh, P. Y. Hsiao, C. H. Cheng, and L. B. Chang, "Real time mobile lane detection system on PXA255 embedded system," International Journal of Circuits, Systems and Signal Processing, vol. 1, no. 2, pp. 177-181, 2007. http://www.naun.org/multimedia/NAUN/circuitssystemssignal/cssp-31.pdf
[6]	T. Al Smadi, Computing Simulation for Traffic Control over Two Intersections, Journal of Advanced Computer Science and Technology Research, Vol 1, No 1.pp. 10-24,2011.http://www.sign-ific-ance.co.uk/dsr/index.php/JACSTR/article/view/38
[7]	Chen, L.; Li, Q.; Li, M.; Zhang, L.; Mao, Q. Design of a Multi-Sensor Cooperation Travel Environment Perception System for Autonomous Vehicle. Sensors 2012,12, 12386-12404. http://www.mdpi.com/1424-8220/12/9/12386
[8]	Wang Y., Teoh E.K, Shen D. “Lane detection using B-snake”.Int. Conf. Information Intelligent and Systems, Bethesda, MD, USA, 1999, pp. 438-443.
[9]	Wang Y., Shen D, Teoh E.K. “Lane detection using spline model”, Pattern Recognit. Lett., 2000, Vol. 21, no. 8, pp. 677-689.
[10]	Yim Y.U., Oh S.Y. “Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving”, IEEE Trans. Intell. Transp. Syst, 2003, Vol. 4 , no. 4,pp. 219-225.
[11]	Mccall J.C, Trivedi M.M. “Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation”, IEEE Trans. Intell. Transp. Syst., 2006, Vol. 7, no. 1, pp. 20-37.

Cite This Article

Plain Text BibTeX RIS

APA Style

Huthaifa Ahmad Al_Issa. (2015). Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel. American Journal of Networks and Communications, 4(1), 5-9. https://doi.org/10.11648/j.ajnc.20150401.12

Copy | Download

ACS Style

Huthaifa Ahmad Al_Issa. Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel. Am. J. Netw. Commun. 2015, 4(1), 5-9. doi: 10.11648/j.ajnc.20150401.12

Copy | Download

AMA Style

Huthaifa Ahmad Al_Issa. Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel. Am J Netw Commun. 2015;4(1):5-9. doi: 10.11648/j.ajnc.20150401.12

Copy | Download

@article{10.11648/j.ajnc.20150401.12,
  author = {Huthaifa Ahmad Al_Issa},
  title = {Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel},
  journal = {American Journal of Networks and Communications},
  volume = {4},
  number = {1},
  pages = {5-9},
  doi = {10.11648/j.ajnc.20150401.12},
  url = {https://doi.org/10.11648/j.ajnc.20150401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20150401.12},
  abstract = {This paper proposes architecture for detecting accidents system based on image processing techniques for emergency case in tunnel, as well as the technical challenges that had to be overcome to ensure that technology successfully operated under all conditions. The advantages of this method include such benefits as Non-use of sensors, low cost and easy setup and relatively good accuracy and speed. Because this method has been implemented using image processing and MATLAB software, production costs are low while achieving high speed and accuracy. Method presented in this research is simple and there is no need to use sensors that have been commonly used to detect traffic in the past. This research can be enhanced by helping out the driver assistance system, this is accomplished by informing the public traffic about accidents in specific areas so that they can avoid those routes.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel
AU  - Huthaifa Ahmad Al_Issa
Y1  - 2015/03/13
PY  - 2015
N1  - https://doi.org/10.11648/j.ajnc.20150401.12
DO  - 10.11648/j.ajnc.20150401.12
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 5
EP  - 9
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20150401.12
AB  - This paper proposes architecture for detecting accidents system based on image processing techniques for emergency case in tunnel, as well as the technical challenges that had to be overcome to ensure that technology successfully operated under all conditions. The advantages of this method include such benefits as Non-use of sensors, low cost and easy setup and relatively good accuracy and speed. Because this method has been implemented using image processing and MATLAB software, production costs are low while achieving high speed and accuracy. Method presented in this research is simple and there is no need to use sensors that have been commonly used to detect traffic in the past. This research can be enhanced by helping out the driver assistance system, this is accomplished by informing the public traffic about accidents in specific areas so that they can avoid those routes.
VL  - 4
IS  - 1
ER  -

Copy | Download

Author Information

Huthaifa Ahmad Al_Issa

Department of Electrical and Electronics Engineering, Faculty of Engineering, Al-Balqa Applied University, Irbid Al-Huson, Jordan

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Huthaifa Ahmad Al_Issa. (2015). Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel. American Journal of Networks and Communications, 4(1), 5-9. https://doi.org/10.11648/j.ajnc.20150401.12

Copy | Download

ACS Style

Huthaifa Ahmad Al_Issa. Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel. Am. J. Netw. Commun. 2015, 4(1), 5-9. doi: 10.11648/j.ajnc.20150401.12

Copy | Download

AMA Style

Huthaifa Ahmad Al_Issa. Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel. Am J Netw Commun. 2015;4(1):5-9. doi: 10.11648/j.ajnc.20150401.12

Copy | Download

@article{10.11648/j.ajnc.20150401.12,
  author = {Huthaifa Ahmad Al_Issa},
  title = {Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel},
  journal = {American Journal of Networks and Communications},
  volume = {4},
  number = {1},
  pages = {5-9},
  doi = {10.11648/j.ajnc.20150401.12},
  url = {https://doi.org/10.11648/j.ajnc.20150401.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20150401.12},
  abstract = {This paper proposes architecture for detecting accidents system based on image processing techniques for emergency case in tunnel, as well as the technical challenges that had to be overcome to ensure that technology successfully operated under all conditions. The advantages of this method include such benefits as Non-use of sensors, low cost and easy setup and relatively good accuracy and speed. Because this method has been implemented using image processing and MATLAB software, production costs are low while achieving high speed and accuracy. Method presented in this research is simple and there is no need to use sensors that have been commonly used to detect traffic in the past. This research can be enhanced by helping out the driver assistance system, this is accomplished by informing the public traffic about accidents in specific areas so that they can avoid those routes.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Driver Assistance System Based on Video Image Processing for Emergency Case in Tunnel
AU  - Huthaifa Ahmad Al_Issa
Y1  - 2015/03/13
PY  - 2015
N1  - https://doi.org/10.11648/j.ajnc.20150401.12
DO  - 10.11648/j.ajnc.20150401.12
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 5
EP  - 9
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20150401.12
AB  - This paper proposes architecture for detecting accidents system based on image processing techniques for emergency case in tunnel, as well as the technical challenges that had to be overcome to ensure that technology successfully operated under all conditions. The advantages of this method include such benefits as Non-use of sensors, low cost and easy setup and relatively good accuracy and speed. Because this method has been implemented using image processing and MATLAB software, production costs are low while achieving high speed and accuracy. Method presented in this research is simple and there is no need to use sensors that have been commonly used to detect traffic in the past. This research can be enhanced by helping out the driver assistance system, this is accomplished by informing the public traffic about accidents in specific areas so that they can avoid those routes.
VL  - 4
IS  - 1
ER  -

Copy | Download