Computer vision applications in intelligent transportation systems: a survey

E Dilek, M Dener - Sensors, 2023 - mdpi.com
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

[HTML][HTML] A Comparative Study on Detection and Recognition of Nonuniform License Plates

M Arshid, MR Azam, Z Mahmood - Big Data and Cognitive Computing, 2024 - mdpi.com
This paper presents a comparative study on license plate detection and recognition
algorithms in unconstrained environments, which include varying illuminations, nonstandard …

Architectural Framework to Enhance Image-Based Vehicle Positioning for Advanced Functionalities

IA Beti, PC Herghelegiu, CF Caruntu - Information, 2024 - mdpi.com
The growing number of vehicles on the roads has resulted in several challenges, including
increased accident rates, fuel consumption, pollution, travel time, and driving stress …

Hybrid feature‐based moving cast shadow detection

J Dai, H Zhang, J Gao, C Chen, Y Yi - IET Computer Vision, 2024 - Wiley Online Library
The accurate detection of moving objects is essential in various applications of artificial
intelligence, particularly in the field of intelligent surveillance systems. However, the moving …

Impact of the preprocessing stage on the performance of offline automatic vehicle counting using YOLO

D Valencia, EM España… - IEEE Latin America …, 2024 - ieeexplore.ieee.org
Vehicle counting systems detect, classify, and count vehicles with sensors or image
processing, providing valuable information for road management. Image processing …

CDRSHNET: VARIANCE-GUIDED MULTISCALE AND SELF-ATTENTION FUSION WITH HYBRID LOSS FUNCTION TO RESTORE TRAFFIC-SIGN IMAGES …

MV Parse, D Pramod - Jordanian Journal of Computers & …, 2024 - search.ebscohost.com
In challenging weather conditions, various visual impediments such as raindrops, shadows,
haze and distortions from dirty camera lenses and codec errors adversely affect the quality …

A Detection of Vehicle Velocity Using Deep Learning

D Singh - 2023 4th IEEE Global Conference for Advancement …, 2023 - ieeexplore.ieee.org
In order to keep track of traffic flow, recognize unlawful vehicle classes, flag accidents, and
calculate vehicle velocities, Intelligent Transportation Systems (ITS) need to integrate …

Improving Vehicle Detection using Ghost Convolution and GhostBottleneck layers in YOLOv5s

RK Yadav, N Nigam, DP Singh… - 2023 International …, 2023 - ieeexplore.ieee.org
In the view of large number of vehicles on the road, manually controlling vehicles become
very difficult and automated traffic management system is a need. Vehicle detection is …

YOLO-CNN–Deep Learning Approach for Vehicle Speed Detection

S Pandey - 2023 International Conference on Data Science …, 2023 - ieeexplore.ieee.org
The tremendous potential benefits of vision-based vehicle speed detection, such as cost
reduction and improved extra functionality, are attracting study interest despite all the …

Strategic Mobility Insights: Optimizing Parking and Operational Efficiency through Density Analysis

PR Praharsh, MVS Tarun, VVS Priya… - 2024 International …, 2024 - ieeexplore.ieee.org
This research introduces a comprehensive approach to optimize parking and operational
efficiency by employing density analysis based on entrance and exit camera footage in …