Machine Learning Based Approach for Traffic Rule Violation Detection-Reference-Cited by-同舟云学术

Machine Learning Based Approach for Traffic Rule Violation Detection

Published:2022-12-01 Issue: Volume: Page:
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Container-title:2022 IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Lavingia Kruti¹,Vaja Mihirsinh¹,Chaturvedi Pooja¹,Lavingia Ami²

Affiliation:

1. Nirma University,Ahmedabad,India

2. Sal College of Engineering,Ahmedabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054178/10054183/10054306.pdf?arnumber=10054306

Reference21 articles.

1. YOLOv3: An Incremental Improvement;redmon,2018

2. Detection of the triple riding and speed violation on two-wheelers using deep learning algorithms

3. Selecting the Right Bounding Box Using Non-Max Suppression (with implementation);singh;Analytics Vidhya,2020

4. A Machine learning approach to improve the efficiency of Fake websites detection Techniques;dakwala;International Journal of Computer Science and Communication (IJCSC),2016

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2. Detection of traffic rule violation in University campus using deep learning model;International Journal of System Assurance Engineering and Management;2023-08-29

3. LoLTV: A Low Light Two-Wheeler Violation Dataset With Anomaly Detection Technique;IEEE Access;2023