@article{ref1,
title="Forward-lane integrity watchdog system",
journal="International journal of recent technology and engineering",
year="2019",
author="Ebenezer, Adlene and Vignesh, S. Karthik and Kishore, B. Sai and Gokul, A.",
volume="8",
number="4",
pages="2784-2788",
abstract="Today there exist a lot of smart vehicles which can change lane on their own, using their sensors to detect the vehicles around them and using various neural or non-neural algorithms to detect the lane on the road. But these are inherently limited to well-structured road environment and struggle with unstructured road or damaged road. This paper aims to propose a new system, based on cloud and deep-learning neutral networks to process images from each region to train a neural network to be highly efficient in that particular region. We use &quot;Collective wisdom&quot; of people along with data analysis to improve the accuracy of the model.<p /> <p>Language: en</p>",
language="en",
issn="2277-3878",
doi="10.35940/ijeat.B2282.129219",
url="http://dx.doi.org/10.35940/ijeat.B2282.129219"
}