Vehicle detection in intelligent transport system under a hazy environment: a survey-Reference-Cited by-同舟云学术

Vehicle detection in intelligent transport system under a hazy environment: a survey

Published:2020-01 Issue:1 Volume:14 Page:1-10
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Husain Agha Asim¹,Maity Tanmoy¹,Yadav Ravindra Kumar²

Affiliation:

1. Department of Mining Machinery EngineeringIndian Institute of Technology (ISM)DhanbadIndia

2. Department of Electronics and Communication EngineeringSkyline Institute of Engineering and TechnologyGreater NoidaIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5351

Reference110 articles.

1. A Review of Computer Vision Techniques for the Analysis of Urban Traffic

2. Data-Driven Intelligent Transportation Systems: A Survey

3. On-road vehicle detection: a review

4. 2015 Int. Conf. on Control Communication and Computing India K.B. Saran G. Sreelekha Traffic video surveillance: vehicle detection and classification 516 521

5. 2008 IEEE Int. Conf. Automation and Logistics Qingdao China G. Wang D. Xiao J. Gu Review on vehicle detection based on video for traffic surveillance 2961 2966

Cited by 36 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. Improved Nighttime Vehicle Detection Using the Cross-Domain Image Translation;Journal of Transportation Engineering, Part A: Systems;2024-08

2. A Road Behavior Pattern-Detection Model in Querétaro City Streets by the Use of Shape Descriptors;Applied System Innovation;2024-05-27

3. Capturing the true bounding boxes: vehicle kinematic data extraction using unmanned aerial vehicles;Journal of Intelligent Transportation Systems;2024-04-18

4. A feature‐enhanced hybrid attention network for traffic sign recognition in real scenes;IET Image Processing;2024-03-26

5. Matting Algorithm with Improved Portrait Details for Images with Complex Backgrounds;Applied Sciences;2024-02-27