Results 41 to 50 of about 101 (88)

Application of YOLOv5 and EasyOCR for Odd-Even Detection and Recognition on License Plates

JITeCS (Journal of Information Technology and Computer Science)
The increase in the number of vehicles in Indonesia is directly correlated with the escalation in traffic congestion. In addition to congestion, an indirect repercussion of vehicle proliferation is the rise in traffic accidents.
Alvin Candra, Fitri Utaminingrum, Herman Tolle   +2 more
doaj   +1 more source

A Path Recommendation Method Considering Individual Driving Preferences

Applied Sciences, 2023
The issue of congestion on urban roads stems from an imbalance between transport demand and supply. It has become imperative to address the problem from the traffic demand side.
Yetao Li, Min Huang
doaj   +1 more source

A Robust Multi‐Oriented License Plate Detector and A Derived End‐to‐End License Plate Recognizer

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This is a research paper on license plate detection and recognition. A new center‐aware license plate detection and end‐to‐end license plate recognition framework is proposed for robust and efficient license plate detection and recognition under unconstrained scenarios.
Xudong Fan, Wei Zhao
wiley   +1 more source

License Plate Image Dehaze Using Lightweight Vision Transformer With Modified Perceptual and Charbonnier Loss

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The invention of infrastructure facilities in intelligent transportation systems is skyrocketing every day. The improvements in such things have many pros and cons. For instance, the accident rate increases due to a rise in the number of vehicles and changes in weather conditions.
K. P. Risha, Daniela Danciulescu, Gabriel Stoian, D. Jude Hemanth, Said El Kafhali   +4 more
wiley   +1 more source

Deep Classifiers-Based License Plate Detection, Localization and Recognition on GPU-Powered Mobile Platform

Future Internet, 2017
The realization of a deep neural architecture on a mobile platform is challenging, but can open up a number of possibilities for visual analysis applications.
Syed Tahir Hussain Rizvi, Denis Patti, Tomas Björklund, Gianpiero Cabodi, Gianluca Francini   +4 more
doaj   +1 more source

IoT‐RNNEI: An Internet of Things Attack Detection Model Leveraging Random Neural Network and Evolutionary Intelligence

IET Communications, Volume 19, Issue 1, January/December 2025.
A proper intrusion detection system's effectiveness depends directly on the choice and effectiveness of the classification method. Tweaking parameters, such as network weights, can enhance a neural network's performance. A method for detecting attacks in IOT networks is outlined in this paper, utilizing evolutionary intelligence and random neural ...
Parisa Rahmani, Mohamad Arefi, Seyyed Mohammad Saber Seyyed Shojae, Ashraf Mirzaee   +3 more
wiley   +1 more source

TSD‐YOLO: Small traffic sign detection based on improved YOLO v8

IET Image Processing, Volume 18, Issue 11, Page 2884-2898, 18 September 2024.
To address these issues and enhance detector performance, this paper proposes an improved algorithm based on YOLOv8s. To preserve fine‐grained information and improve small target detection, the authors incorporate the Space‐to‐Depth module into the sampling process.
Songjie Du, Weiguo Pan, Nuoya Li, Songyin Dai, Bingxin Xu, Hongzhe Liu, Cheng Xu, Xuewei Li   +7 more
wiley   +1 more source

A Weather-Adaptive Convolutional Neural Network Framework for Better License Plate Detection

Sensors
Automatic License Plate Recognition (ALPR) systems are essential for Intelligent Transport Systems (ITS), effective transportation management, security, law enforcement, etc.
Utsha Saha, Binita Saha, Md Ashique Imran   +2 more
doaj   +1 more source

Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway

IET Intelligent Transport Systems, Volume 18, Issue 3, Page 450-466, March 2024.
Abstract Vehicular trajectory data collected by connected automated vehicles (CAVs) is minimal due to the low penetration rates (PRs) of CAVs, and fail to capture the characteristics of traffic flow. This study proposes a fully sampled trajectory reconstruction method for mixed traffic flow with regular vehicles (RVs), connected vehicles (CVs), and ...
Zhihong Yao, Meng Liu, Yangsheng Jiang, Youhua Tang, Bin Ran   +4 more
wiley   +1 more source

Automatic License Plate Recognition in In-the-Wild Scenarios: A Comprehensive Review, Open Issues, and Future Directions

IEEE Access
Over the past few years, breakthroughs in deep learning applied to computer vision has driven the development of novel techniques and various solutions for automatic license plate recognition (ALPR).
Amir Ismail, Maroua Mehri, Anis Sahbani, Najoua Essoukri Ben Amara   +3 more
doaj   +1 more source