Autonomous Tracking of Vehicle Taillights for Avoiding Accidents in Toll Road
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
The pasture of statistical morphology contributes a spacious variety of operators to image trade out, all based in the region of the alternative simple precise concepts from rest theory. The operators are mainly valuable for the breakdown of double images and universal usages embrace circumference detection, noise deduction, image enrichment and image segmentation. The PWM is detecting the vehicles signal then an ultrasonic sensor can be used to sense the taillights. UART can be used for transmitting and receiving these signals to the Arduino system. The system is low-power and processes scenes entirely an embedded systems. In contrast to most existing work that addresses whichever daytime or nighttime exposure, the presented system provides the aptitude to track vehicle taillights and distinguish aware signals in spite of of illumination environment. The mobile visualization system has been weathered in authentic traffic scenes and the results obtained exhibit the routine and the trivial personality of the algorithm.
Authors and Affiliations
M. Yuvaraju, G. Manjula Devi
Keywords
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- EP ID EP22289
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