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Automated Vehicle Designing Based on Internet of Things using Raspberry pi B+

Authors: Ankit Narendrakumar Soni;

Automated Vehicle Designing Based on Internet of Things using Raspberry pi B+

Abstract

The objective of this project is to encourage the way toward driving a vehicle via automating it. The aftereffect of this project will diminish the number of fender benders happening nowadays. The thought is to make an autonomous vehicle(a mixed-race model of Level two and three) that utilizes just some sensors(collision indicators, temperature locators and so on) and camera module to go between objections with negligible/no human mediation. The vehicle contains a prepared Convolutional Neural Network (CNN) which will predict all the boundaries that are needed for efficiently driving a vehicle. They are legitimately associated with the fundamental guiding component, and the yield of the deep learning model will decide the directing point of the vehicle.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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