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Cars and vehicles have been incorporated into culture as one of the most resourceful, easiest and accessible means of transportation available. But besides being a suitable and common means, it is equally an incredibly dangerous mode of transport. Thousands of people die in vehicle accidents each year, whether it is accident with another vehicle or with a motionless object. A method of early accident exposure and evasion can control several accidents that may be associated to factors such as loss of control, careless driving, tired/intoxicated drivers, and not paying concentration to the road. As the current market does not present a normal safety feature in any car, the use of sensory tools to sense potentially hazardous objects a definite distance away and either slows the car down or shove to a safer path has not been released. In this research paper a new technique is introduced for safety against accidents. Eight ultrasonic sensors are used to sense different types of objects. By implementing a possible improvement in safety/sanctuary systems in vehicles, the vehicle and sensor would be able to operate normally until the sensor detects possible risk. In our project, the sensor does not give output or signal until the car comes within ~75 feet of an object, at which timer sends information of hurdle to driver. The sensor only indicates the presence of an object; it is up to the user or driver to tackle the hurdle.
Dr. Muqaddas Bin Tahir. 2012. "Distance Measuring (Hurdle detection System) for Safe Environment in Vehicles through Ultrasonic Rays". Global Journal of Research in Engineering - B: Automotive Engineering GJRE-B Volume 12 (GJRE Volume 12 Issue B1).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
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Total Score: 107
Country: Unknown
Subject: Global Journal of Research in Engineering
Authors: Dr. Muqaddas Bin Tahir, Musarat Abdullah (PhD/Dr. count: 1)
View Count (all-time): 486
Total Views (Real + Logic): 1709
Total Downloads (simulated): 149
Publish Date: 2012 01, Sun
Monthly Totals (Real + Logic):
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