Deep Learning Approach for Traffic Sign Recognition on Embedded Systems

A Shivankit, G Kaur, S Juneja… - Handbook of Machine …, 2021 - taylorfrancis.com
This research focuses on creating an affordable and effective warning system for drivers that
is able to detect the warning signboards and speed limits in front of the moving vehicle and …

Intelligent traffic control system using deep learning

I Malar, K Jeevitha, R Keerthi, R Mahalashmi - ECS Transactions, 2022 - iopscience.iop.org
Traffic congestion and regulating traffic in traffic signals are major issues in cities.
Nowadays, in most of the cities, Traffic Management Centres installed numerous cameras all …

Traffic Sign Recognition using Convolutional Neural Networks YOLOv3 Algorithm

A Gnanabaskaran, PR KS… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Nowadays, traffic sign recognition is disrupted through various external factors such as
chromatic aberration, geographical separation, and brightness of lights. This eventually …

Real-time monitoring of traffic parameters

K Khazukov, V Shepelev, T Karpeta, S Shabiev… - Journal of Big …, 2020 - Springer
This study deals with the problem of rea-time obtaining quality data on the road traffic
parameters based on the static street video surveillance camera data. The existing road …

Hybrid Approach for Detecting the Traffic Violations Based on Deep Learning Using the Real-Time Data

P Gupta, R Rajkumar, S Santhanalakshmi… - Computer Networks and …, 2022 - Springer
Nowadays, the number of vehicles on the road is steadily increasing, and this raises the risk
of road accidents. One of the reasons of this regrettable situation is violation of traffic rules …

Real-time traffic monitoring system based on deep learning and YOLOv8

SB Neamah, AA Karim - aro-the scientific journal of koya …, 2023 - aro.koyauniversity.org
Computer vision applications are important nowadays because they provide solutions to
critical problems that relate to traffic in a cost-effective manner to reduce accidents and …

Real-Time Traffic Signs and Lane Line Detection

K Kishor, S Sangal, Shahroz - Doctoral Symposium on Computational …, 2023 - Springer
The importance of the traffic signs we see on the roadways in our daily lives as drivers
cannot be overstated. They provide critical details to the motorist. As a consequence, drivers …

Artificial Intelligence Based Smart Interchange System In Smart Urbanization

E Ezberci, D Avcı - Turkish Journal of Science and Technology, 2022 - dergipark.org.tr
The duration of the smart intersection system lights is determined automatically according to
the nearest busy. The vehicle at the intersection with the camera is calculated by the image …

[PDF][PDF] Combining YOLO and Deep Reinforcement Learning for Autonomous Driving in Public Roadworks Scenarios.

N Andrade, T Ribeiro, J Coelho, G Lopes, AF Ribeiro - ICAART (3), 2022 - scitepress.org
Autonomous driving is emerging as a useful practical application of Artificial Intelligence (AI)
algorithms regarding both supervised learning and reinforcement learning methods. AI is a …

Identification of Collision Situations for Higher Efficiency of Traffic Control System

J Růžička, T Tichý, E Hajčiarová… - 2024 Smart City …, 2024 - ieeexplore.ieee.org
An integral part of modern cities within Smart City concepts is the development and related
innovations in traffic control systems. New proposals need to be carried out in accordance …