[PDF][PDF] Real-time Detection and Recognition of Traffic Signs in Bangladesh using YOLOv3 Detector

MM Zayed, M Al Amin, MS Rahman - Real-time Detection and …, 2021 - researchgate.net
Traffic sign detection and recognition are modern aged technological development of
intelligent vehicles. Even though there is no implementation of this technology in our …

A hierarchical approach for traffic sign recognition based on shape detection and image classification

EHC Lu, M Gozdzikiewicz, KH Chang, JM Ciou - Sensors, 2022 - mdpi.com
In recent years, the development of self-driving cars and their inclusion in our daily life has
rapidly transformed from an idea into a reality. One of the main issues that autonomous …

Automatic Hand Recognition Using Deep Learning and YOLOv8

C Dewi, Y Natalia, T Wellem… - 2023 12th …, 2023 - ieeexplore.ieee.org
The identification of human hands is a critical step in the pre-processing stage of most
computer vision tasks. This is because human hands are involved in the action. Estimating …

[PDF][PDF] A real time Malaysian sign language detection algorithm based on YOLOv3

M Asri, Z Ahmad, IA Mohtar, S Ibrahim - International Journal of …, 2019 - academia.edu
Sign language is a language that involves a movement of hand gestures. It is a medium for
the hearing impaired person (deaf or mute) to communicate with others. However, in order to …

A novel lightweight traffic sign recognition model based on YOLOv5

W Li, G Zhang, L Cui - Journal of transportation engineering, Part A …, 2023 - ascelibrary.org
How to strike a balance between detection speed and recognition accuracy has become a
major challenge in real-time object detection. In this research, the YOLOv5 (You Only Look …

Borno-net: a real-time Bengali sign-character detection and sentence generation system using quantized Yolov4-Tiny and LSTMs

N Begum, R Rahman, N Jahan, SS Khan, T Helaly… - Applied Sciences, 2023 - mdpi.com
Sign language is the most commonly used form of communication for persons with
disabilities who have hearing or speech difficulties. However, persons without hearing …

Real time object detection with audio feedback using Yolo vs. Yolo_v3

M Mahendru, SK Dubey - … on cloud computing, data science & …, 2021 - ieeexplore.ieee.org
Object recognition is one of the challenging application of computer vision, which has been
widely applied in many areas for eg autonomous cars, Robotics, Security tracking, Guiding …

A performance comparison of YOLOv8 models for traffic sign detection in the Robotaxi-full scale autonomous vehicle competition

E Soylu, T Soylu - Multimedia Tools and Applications, 2024 - Springer
The ability to recognize traffic signs is a critical skill for safe driving, as traffic signs provide
drivers with essential information about the road conditions, potential hazards, speed limits …

Sign Language Detection Using Machine Learning

P Ilanchezhian, IAK Singh, M Balaji, AM Kumar… - … : Select Proceedings of …, 2023 - Springer
Sign language detection project is to detect the sign language hand gestures, which really
helps the common people like is to understand what a deaf or mute people are trying to …

Traffic lights detection method based on the improved yolov5 network

X Chen - 2022 IEEE 4th International Conference on Civil …, 2022 - ieeexplore.ieee.org
Helping people with limited vision to identify traffic signs is important and challenging work.
In recent year, many methods have been proposed to detect traffic signs, but all of them …