Application of Image Processing Techniques for Pothole Detection-Reference-Cited by-同舟云学术

Application of Image Processing Techniques for Pothole Detection

Published:2022-05-25 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)
language:
Short-container-title:

Author:

Ajay Aketi¹,Revathy S.²,Nagavijayasivasuryaprakashreddy Bheemireddy¹,Posonia Mary¹,Ankayarkanni B.¹

Affiliation:

1. Sathyabama Institute of Science and Technology,Department of Computer Science & Engineering

2. Sathyabama Institute of Science and Technology,School of Computing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9788085/9787985/09788349.pdf?arnumber=9788349

Reference16 articles.

1. Various image segmentation techniques: a review;kaur;International Journal of Computer Science and Mobile Computing,2014

2. Asphalt Pavement Pothole Detection using Deep learning method based on YOLO Neural Network

3. Detecting potholes using simple image processing techniques and real-world footage;nienaber,2015

4. Pothole detection using location-aware convolutional neural networks

5. Prof. BP Fuladi, Prof. LA Hundikar, “FPGA Based Intelligent Pothole Detection System;pawade;International Journal of Innovative Research in Computer and Communication Engineering,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey of the Optimization System Road Damage Detection on CNN Model for Edge Device;2023 International Conference on Information Technology and Computing (ICITCOM);2023-12-01

2. Blind Navigation Support System using Raspberry Pi & YOLO;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04