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IIJCS:Volume 9, Issue 7, July 2021
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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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