An Analysis of Sensor Placement for Vehicle's Blind Spot Detection and Warning System

Authors

  • Mohammad Herman Jamaluddin Centre of Excellence in Robotics & Industrial Automation (CeRIA), Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Malacca, Malaysia.
  • Ahmad Zaki Shukor Centre of Excellence in Robotics & Industrial Automation (CeRIA), Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Malacca, Malaysia.
  • Muhammad Fahmi Miskon Centre of Excellence in Robotics & Industrial Automation (CeRIA), Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Malacca, Malaysia.
  • Fariz Ali @Ibrahim Centre of Excellence in Robotics & Industrial Automation (CeRIA), Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Malacca, Malaysia.
  • Muhammad Qamarul Arifin Redzuan Centre of Excellence in Robotics & Industrial Automation (CeRIA), Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Malacca, Malaysia.

Keywords:

Blind Spot, Detection System, Smart Vehicle, Ultrasonic Sensor,

Abstract

Nowadays, the number of accidents involving motorized vehicles is increasing especially the side collision of the vehicles when the driver attempt to change from one lane to another either to left or right which is due to the carelessness of the driver and unsighted the blind spot. However, the cooperation of technology can overcome this problem. The key element is the ability to detect the incoming vehicle in the blind spot area. However, problems rises when the sensor used for the system only able to cover certain amount of area. The objectives of this study is to develop and implement a device that will warn the driver about the incoming vehicles in the blind spot area by blinking LED and to investigate the effectiveness of the system in terms of the position of the sensor used for the system. The developed system are equipped with an Arduino UNO microcontroller and SRF04 ultrasonic sensor. There are two experiments be conducted. The first experiment is carried out to make an analysis on the time response of the system with position of the sensor above the rear tire of the static vehicle. The second experiment is carried out to examine the time response of the system with same position of the sensor with the moving vehicle at certain constant velocity. The result shows that the sensor placement above the rear tire give a good performance in term of driver notification of the presence of vehicle at the blind spot region.

References

In search of the ideal blind-spot detection system. (2004, June 7). Retrieved September 11, 2014, from http://www.frost.com

LaneFX® auto safety series: Top 5 research findings for responsible lane changes and merges. (2010, June 1). Retrieved September 11, 2014, from http://drivingsafetytips.lanefx.com

US Dept of Transportation’s ”Naturalistic lane-change filed data reduction, analysis and archiving” HS 809 702. 2004.

S. Hetrick, “Examination of driver lane change behavior and the potential effectiveness of warning onset rules for lane change or side crash avoidance systems,” Master Thesis, Virginia Polytechnic Institute & State University’s, 1997

S. Singh, R. Meng, S. Nelakuditi, Y. Tong and S. Wang, ”SideEye: Mobile Assistant for Blind Spot Monitoring,” in the Proceedings of IEEE International Conference on Computing, Networking and

Communication, Mobile Computing & Vehicle Communications Symposium, pp. 408-412, 2014.

P. Racine, D., B. Cramer, N., and Hosseini Zadeh, M. (2010). A Haptic Solution to Blind Spot Collisions. Active Blind Spot Crash Avoidance System, 3-3.

The Camellia Open Source Image Processing Library: Retrieved September 13, 2014, from http://camellia.sourceforge.net

N. Blanc, B. Steux, and T. Hinz, (2007). Intelligent Vehicle symposium. LaRA SideCam: A Fast and Robust Vision-Based Blindspot Detection System, 1-1.

Nicholas Nethercote and Jeremy Fitzhardinge, “Bounds-Checking Entire Programs Without Recompiling.”. Informal Proceedings of the Second Workshop on Semantics, Program Analysis, and Computing Environments for Memory Management (SPACE 2004), Venice, Italy, January 2004.

P.H. Batavia, D.E. Pomerleau, C.E. Thorpe, “Overtaking Vehicle Detection Using Implicit Optical Flow”, IEEE Conference on Intelligent Transportation Systems, 1997

Z. Sun and G. Bebis, “On-Road Vehicle Detection: a Review”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 694-711, 2006

J. Kuwana, M. Itoh, and T. Inagaki, (2013). Dynamic Side-View Mirror: Assisting Situation Awareness in Blind Spots.

M. Q. A. Redzuan, ”Vehicles Blind Spot Detection and Warning System,” Degree Thesis of Universiti Teknikal Malaysia Melaka, 2015.

Arduino Starter Kit Manual, A Complete Beginners Guide to Arduino, 2010.

SRF04 - Ultra-Sonic Ranger retrieved September 22, 2014 from http://www.robot-electronics.co.uk/htm/srf04tech.html

Downloads

Published

2016-10-01

How to Cite

Jamaluddin, M. H., Shukor, A. Z., Miskon, M. F., @Ibrahim, F. A., & Redzuan, M. Q. A. (2016). An Analysis of Sensor Placement for Vehicle’s Blind Spot Detection and Warning System. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(7), 101–106. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1288

Most read articles by the same author(s)