Machine Learning Approaches on Pedestrian Detection in an autonomous vehicle-Reference-Cited by-同舟云学术

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Machine Learning Approaches on Pedestrian Detection in an autonomous vehicle

Published:2023-02-22 Issue: Volume: Page:
ISSN:
Container-title:2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
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Author:

Ranganayaki V.¹,J Jency Rubia²,Ramesh P.S.³,Rammohan K⁴,Lincy R.Babitha⁵,Deepak A.⁶

Affiliation:

1. Dr.N.G.P. Institute of Technology, Dr NGP Nagar,Electrical & Electronics Engineering,Coimbatore,641048

2. K. Ramakrishnan College of Engineering, Samayapuram,Department of ECE,Tiruchirappalli,621112

3. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology,Computer SE,chennai

4. St. Martin's Engineering College,CSE Department,Secunderabad

5. Sri Eshwar College of Engineering, Kinathukadavu,Computer and Communication Engineering department,Coimbatore,641005

6. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of ECE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10179605/10179606/10179836.pdf?arnumber=10179836

Reference16 articles.

1. Deep learning approaches for COVID-19 detection based on chest X-ray images

2. Classification of COVID-19 from Chest X-ray images using Deep Convolutional Neural Network

3. Vehicle and Pedestrian Detection Using Support Vector Machine and Histogram of Oriented Gradients Features

4. Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging

5. A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images

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1. Detecting Alzheimer’s Disease Using Deep Learning Framework for Medial IoT Application;EAI/Springer Innovations in Communication and Computing;2024

2. Nature Inspired Optimizers and Their Importance for AI: An Inclusive Analysis;EAI/Springer Innovations in Communication and Computing;2024

3. Enhancing Pedestrian Safety in Autonomous Vehicles through Machine Learning;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

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