IoT-Embedded Traffic Cones with CNN-based Object Detection to Roadwork Safety-Reference-Cited by-同舟云学术

IoT-Embedded Traffic Cones with CNN-based Object Detection to Roadwork Safety

Published:2024-01-04 Issue: Volume: Page:120-125
ISSN:
Container-title:2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

Saillaja V.¹,Rehaman Pasha Mohammed²,Krishnaveni S.³,Ravinder Bathini⁴,Srinivasan S.⁵,Nandagopal V.⁶

Affiliation:

1. SRM Institute of Science and Technology, Kattankulathur,Faculty of Management Studies,Chennai,Tamil Nadu,India

2. Malla Reddy Institute of Engineering and Technology,Department of Computer Science and Engineering,Hyderabad,Telangana,India

3. S.A.Engineering College,Department of Information Technology,Chennai,Tamil Nadu,India

4. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Guntur,Andhra Pradesh,India

5. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Biomedical Engineering,Chennai,Tamil Nadu,India

6. School of Engineering, Mohan Babu University,Department of Electrical and Electornics Engineering,Tirupathi,Andrapradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467178/10467214/10467840.pdf?arnumber=10467840

Reference15 articles.

1. Real-time traffic cone detection for autonomous vehicle

2. Intelligent traffic cone based on vehicle accident detection and identification using image compression analysis and RFID system;Kantawong,2010

3. Automated Health Monitoring System for Coma Patients

4. Advanced Driver-Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones

5. Temporary Traffic Control Device Detection for Road Construction Projects Using Deep Learning Application

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