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Embedded System Based on Obstacle Detector Sensor to Prevent Road Accident by Lane Detection and Controlling

  • Mohtasim BillahEmail author
  • Mamunur Rashid
  • Arnob Kumar Bairagi
Article
  • 47 Downloads

Abstract

This paper represents an economical accident prevention embedded system based on obstacle detection IR (infra-red) sensor, which will detect the lane indicator lines on the road. Receiving signals from these sensors, a microcontroller performs various functions like monitoring, motivation and control to prevent accidents due to overtaking and wrong lane driving. An RF (radio frequency) transmitter and receiver is applied to communicate with adjacent vehicles in a relevant range, which will help a driver to take decision in case of emergency overtake. A new model is also proposed by removing the use of external RF transmitter control, located at public zone (school, hospital) and when the vehicle receiver enter into the transmitter coverage area, controls the speed of vehicle. In lieu of this model our proposed model ensures that, the vehicle can recognize itself in a public zone and control its speed automatically by detecting two horizontal lines at a specific distance on the road effectively.

Keywords

Obstacle detection IR sensor Left continuous line Right continuous line Middle discontinuous line Microcontroller RF module Public zone 

Notes

References

  1. 1.
    Ahmed, I., Ahmed, B.: Urban Road Accidents in Dhaka, Bangladesh (2013)Google Scholar
  2. 2.
    Vinuchandran, A.V., Shanmughasundaram, R.: A real-time lane departure warning and vehicle detection system using monoscopic camera. In: International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), vol. 2017, pp. 1565–1569, Kannur (2017)Google Scholar
  3. 3.
    D'Cruz, C., Jia Zou, J.: Lane detection for driver assistance and intelligent vehicle applications. In: 2007 International Symposium on Communications and Information Technologies, pp. 1291–1296, Sydney (2007)Google Scholar
  4. 4.
    Garethiya, S., Ujjainiya, L., Dudhwadkar, V.: Predictive vehicle collision avoidance system using raspberry – pi. ARPN Journal of Engineering and Applied Sciences. 10, 3655–3659 (2015)Google Scholar
  5. 5.
    Bhavanam, Dr. (2014). Automatic Speed Control and Accident Avoidance of Vehicle Using Multi SensorsGoogle Scholar
  6. 6.
    Beucher, S., Bilodeau, M.: Road segmentation and obstacle detection by a fast watershed transformation. In: Proceedings of the Intelligent Vehicles '94 Symposium, pp. 296–301. France, Paris (1994)CrossRefGoogle Scholar
  7. 7.
    John, A., Nishanth, P.R.: Real time embedded system for accident prevention. International conference of Electronics, Communication and Aerospace Technology (ICECA), Coimbatore. 2017, 645–648 (2017)Google Scholar
  8. 8.
    Rathinakumar, R., Manivannan, D.: Wireless Accident Information System Using GSM and GPS, vol. 4, (2012)Google Scholar
  9. 9.

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Mohtasim Billah
    • 1
    Email author
  • Mamunur Rashid
    • 1
  • Arnob Kumar Bairagi
    • 1
  1. 1.Department of Electrical and Electronic EngineeringRajshahi University of Engineering and TechnologyRajshahiBangladesh

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