Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles-Reference-Cited by-同舟云学术

Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles

Published:2023-02-12 Issue: Volume: Page:1-13
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Haider Majumder¹^ORCID,Peyal Mahmudul Kabir¹^ORCID,Huang Tao²,Xiang Wei³

Affiliation:

1. Department of Electrical and Electronic Engineering, School of Engineering, BRAC University, Dhaka, Bangladesh

2. College of Science and Engineering, James Cook University, Smithfield, Queensland, Australia

3. School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Victoria, Australia

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2023.2175613

Reference45 articles.

1. Understanding of a convolutional neural network

2. A Deep Learning Approach for Road Damage Detection from Smartphone Images

3. Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection

4. Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings—Addressing Who’s Who

Cited by 1 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. The Current Status and Scope of Smart Highways in India;Advances in Civil and Industrial Engineering;2024-06-24