Quantification and Analysis of Blindspots for Light Motor Vehicles
Aleena Mathew1, E. S. Krishna Ram2, Elizabeth Maria Alex3, Gokul G. Kumar4, Jeslin Elizabeth5, M. Satyakumar6
1Aleena Mathew, Bachelor Degree, Department of Civil Engineering, Mar Baselios College of Engineering and Technology, Thiruvananthapuram (Kerala), India.
2E S Krishna Ram, Bachelor Degree, Department of Civil Engineering, University of (Kerala), India.
3Elizabeth Maria Alex, Bachelor Degree, Department of Civil Engineering, University of (Kerala), India.
4Gokul G. Kumar, Bachelor Degree, Department of Civil Engineering, University of (Kerala), India.
5Jeslin Elizabeth, Graduated Bachelors, Department of Civil Engineering, Mar Baselios College of Engineering and Technology, University of (Kerala), India.
6M.Satyakumar, Professor and Head, Department of Civil Engineering, and Technology, Thiruvananthapuram Government Engineering College Kannur (Kerala), India.
Manuscript received on 05 December 2018 | Revised Manuscript received on 19 December 2018 | Manuscript published on 30 December 2018 | PP: 102-106 | Volume-8 Issue-2C, December 2018 | Retrieval Number: 100.1/ijeat.ICID-2018_TE_210
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent years, the rapidly increasing vehicular population, deteriorating road conditions, driving environment and human factors has led to a lot of traffic accidents and casualties. If, there exist a mechanism to detect obstructions in the road, and then relay the processed information back to the driver, he may be alerted about the impending danger. The lack of visual stimuli due to blind spots, both vehicular and external is often a leading contributor of road accidents. This paper outlines procedures for calculating and analyzing the factors affecting blind spots for light motor vehicles by quantifying blind spot of the test vehicle with respect to suitable parameters. An opinion survey was conducted to understand driver needs and various opinions were collected and analyzed. An ultrasonic sensor system was developed with the collected blind spot data which maps physical environment around the car, with special care given to blind spots and relay it back to the driver in real time.
Keywords: Arduino, Blindspot, Ultrasonic Sensor.
Scope of the Article: Structural Reliability Analysis