Deep Learning Based Traffic Accident Detection in Smart Transportation: A Machine Vision-Based Approach-Reference-Cited by-同舟云学术

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Deep Learning Based Traffic Accident Detection in Smart Transportation: A Machine Vision-Based Approach

Published:2024-04-16 Issue: Volume:16 Page:1-6
ISSN:
Container-title:2024 4th International Conference on Applied Artificial Intelligence (ICAPAI)
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Author:

Melegrito Mark¹,Reyes Ryan²,Tejada Ryan³,Sualog Anthony John Edgar⁴,Sarraga Alon Alvin⁵,Delmo Ritchelie P.⁶,Enaldo Meriam A.⁶,Anqui Abrahem P.⁶

Affiliation:

1. Technological University of the Philippines,Dept of Electronics Engineering,Manila,Philippines

2. Technological University of the Philippines,Dept of Electrical Engineering,Manila,Philippines

3. College of Computing Sciences Ifugao State University,Ifugao,Philippines

4. College of Computer Studies Mindoro State University,Mindoro,Philippines

5. National Research Council of the Philippines,Department of Science and Technology,Taguig City,Philippines

6. College of Technology Cebu Technological University,Cebu,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10541104/10541133/10541163.pdf?arnumber=10541163

Reference18 articles.

1. Sensing and monitoring of smart transportation systems

2. A deep neural framework for real-time vehicular accident detection based on motion temporal templates

3. Smart Standalone Edge IoT Device for Traffic Volume Counting in Smart Cities

4. Deep Learning Envisioned Accident Detection System

5. A deep learning-based car accident detection approach in video-based traffic surveillance

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