Traffic sign detection and recognition using YOLO object detection algorithm: A systematic review

M Flores-Calero, CA Astudillo, D Guevara, J Maza… - Mathematics, 2024 - mdpi.com
Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …

Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learning

X Tao, H Li, L Deng - International Symposium on Intelligence …, 2021 - Springer
With the continuous improvement of deep learning algorithms, it has achieved considerable
results in the fields of machine vision and natural language processing. In the face of …

A Deep Learning Framework to Traffic Sign Recognition in All Weather Conditions

A Piralkar - 2022 - norma.ncirl.ie
Traffic Sign Recognition (TSR) for Advanced Driver Assistance Systems (ADAS) is crucial for
preventing fatal crashes. However, recognizing the traffic signs in adverse weather and …

[PDF][PDF] Paper Title* A Comprehensive Survey of Traffic Sign Detection and Recognition

M Faizaanuddin, K Ramana - researchgate.net
In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for fully autonomous vehicles and driver assistant …

Indian Traffic Sign Recognition as a Two Stag Approach using YOLOv4.

MJ KP, S Manmadhan - Grenze International Journal of …, 2023 - search.ebscohost.com
In real-world applications such as autonomous driving and driver safety, Traffic Sign
Recognition (TSR) systems play a critical role. In a country like India, where new technology …

[PDF][PDF] TRAFFIC SIGN RECOGNITION SYSTEM BASED ON CAPSULE NETWORK

W Hao - cerv.aut.ac.nz
The rapid development of computer vision technology helps us realize intelligent life. It is
also becoming more and more widely used. Self-driving technology can help us drive cars …