Attention‐Enhanced One‐Stage Algorithm for Traffic Sign Detection and Recognition

H Huang, Q Liang, D Luo, DH Lee - Journal of Sensors, 2022 - Wiley Online Library
Detection and recognition of traffic signs are the keys to creating advanced driving
assistance systems. Making highly precise maps also requires the identification and …

Performance enhancement techniques for traffic sign recognition using a deep neural network

JA Khan, Y Chen, Y Rehman, H Shin - Multimedia Tools and Applications, 2020 - Springer
An advanced traffic sign recognition (ATSR) system using novel pre-processing techniques
and optimization techniques has been proposed. During the pre-processing of input road …

Psg-yolov5: A paradigm for traffic sign detection and recognition algorithm based on deep learning

J Hu, Z Wang, M Chang, L Xie, W Xu, N Chen - Symmetry, 2022 - mdpi.com
With the gradual popularization of autonomous driving technology, how to obtain traffic sign
information efficiently and accurately is very important for subsequent decision-making and …

An Improved Traffic Sign Detection and Recognition Deep Model Based on YOLOv5

Q Wang, X Li, M Lu - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we aim at the traffic sign detection and recognition in complex road conditions.
We proposed a deep model for traffic sign detection and recognition. There are a few …

Traffic sign recognition based on deep learning

Y Zhu, WQ Yan - Multimedia Tools and Applications, 2022 - Springer
Abstract Intelligent Transportation System (ITS), including unmanned vehicles, has been
gradually matured despite on road. How to eliminate the interference due to various …

[PDF][PDF] A Two-stage Learning Approach for Traffic Sign Detection and Recognition.

YC Chiu, HY Lin, WL Tai - VEHITS, 2021 - pdfs.semanticscholar.org
With the progress of advanced driver assistance systems (ADAS), the development of
assisted driving technologies is becoming more and more important for vehicle subsystems …

[PDF][PDF] Traffic Sign Detection and Recognition Based onDeep Learning.

H Zhang, J Zhao - Engineering Letters, 2022 - engineeringletters.com
As the core technology in the field of intelligent transportation, traffic sign detection and
recognition play a significant role in unmanned driving, high-precision map navigation, and …

YOLO-RFB: An improved traffic sign detection model

Z Bi, F Xu, M Shan, L Yu - International Conference on Mobile Computing …, 2021 - Springer
With the development of intelligent transportation system, the detection method of traffic
signs plays an important role in unmanned driving. However, due to the real-time and …

Multi-scale traffic sign detection algorithm based on improved YOLO_V4

S Li, X Cheng, Z Zhou, B Zhao, S Li… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Traffic sign detection and recognition is a key technology for intelligent assisted driving. This
paper proposes a key technology for traffic sign detection and recognition based on …

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 …