A hybrid location‐dependent ultra convolutional neural network‐based vehicle number plate recognition approach for intelligent transportation systems
S Ramasamy, A Selvarajan… - Concurrency and …, 2023 - Wiley Online Library
In today's world, identifying the owner and proprietor of a vehicle that violates driving rules or
does any unintentional work on the street is a challenging task. Inspection of each driver's …
does any unintentional work on the street is a challenging task. Inspection of each driver's …
Urban network-wide traffic volume estimation under sparse deployment of detectors
Sensing network-wide traffic information is fundamental for the sustainable development of
urban planning and traffic management. However, owing to the limited budgets or device …
urban planning and traffic management. However, owing to the limited budgets or device …
A hybrid deep learning model for link dynamic vehicle count forecasting with Bayesian optimization
The link dynamic vehicle count is a spatial variable that measures the traffic state of road
sections, which reflects the actual traffic demand. This paper presents a hybrid deep …
sections, which reflects the actual traffic demand. This paper presents a hybrid deep …
A Vehicle Matching Algorithm by Maximizing Travel Time Probability Based on Automatic License Plate Recognition Data
Vehicle re-identification aims to match and identify the same vehicle crossing multiple
surveillance cameras and obtain traffic information such as travel time. The Automatic …
surveillance cameras and obtain traffic information such as travel time. The Automatic …
Plaka tanıma sistemleri ve hibrit bir sistem önerisi
RZK BABA, S SERTTAŞ - 2023 5th International Congress on …, 2023 - ieeexplore.ieee.org
Today, traffic safety is gaining more and more importance due to the increase in the number
of vehicles and traffic density. In this context, license plate recognition systems are vital for …
of vehicles and traffic density. In this context, license plate recognition systems are vital for …