Deep Learning Approaches for Autonomous Driving to Detect Traffic Signs-Reference-Cited by-同舟云学术

Deep Learning Approaches for Autonomous Driving to Detect Traffic Signs

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
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Author:

Sirigineedi Manikanta¹,Kumaravel T.²,Natesan P.²,Shruthi V. Kavya²,Kowsalya M.²,Malarkodi M S.²

Affiliation:

1. Vishnu Institute of Technology,Department of Information Technology,Vishnupur, Bhimavaram,AP

2. Kongu Engineering College,Department of Computer Science and Engineering,Erode,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370617.pdf?arnumber=10370617

Reference14 articles.

1. Traffic sign detection based on improved 7faster R-CNN for autonomous driving;Li;The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2021,2021

2. Indian traffic sign detection and recognition using deep learning

3. A Traffic-Sign Detection Algorithm Based on Improved Sparse R-cnn

4. Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

5. Object Detection of Traffic Signs using Faster Region-based Convolutional Neural Networks (Faster R-CNN);Thoviti;Department of Computer Science & Information Management, Asian Institute of Technology, Bangkok, 12120, Thailand

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