IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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Traffic Sign Detection and Recognition using Neural Architecture Search , Authors : Akshaya Sadhasivan,Dr.Asha T S,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 9, Issue 7, July 2021


Title:
Traffic Sign Detection and Recognition using Neural Architecture Search
Author Name:
Akshaya Sadhasivan,Dr.Asha T S
Abstract:
ABSTRACT Traffic sign detection and recognition plays an important role in Autonomous vehicles. There are various recent researches are held to support this task. Recent advances in deep neural networks simplify the risk of traditional detection and recognition methods. In this paper, we look at traffic sign detection as an image segmentation problem and a deep neural network based approach is proposed to solve it. For this we introduce a new network by constructing a automatic segmentation using SegNet with the help of Neural architecture search(NAS). NAS is a tool for automatically constructing a deep neural network. Keywords: Deep neural network, Neural architecture search
Cite this article:
Akshaya Sadhasivan,Dr.Asha T S , " Traffic Sign Detection and Recognition using Neural Architecture Search " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 9, Issue 7, July 2021 , pp. 001-008 , ISSN 2321-5992.
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