Machine vision based traffic sign detection methods: Review, analyses and perspectives

C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

Visual human–computer interactions for intelligent vehicles and intelligent transportation systems: The state of the art and future directions

X Wang, X Zheng, W Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …

Deep learning for large-scale traffic-sign detection and recognition

D Tabernik, D Skočaj - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
Automatic detection and recognition of traffic signs plays a crucial role in management of the
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …

FuzzyNet-based modelling smart traffic system in smart cities using deep learning models

PK Mall, V Narayan, S Pramanik… - … of Research on Data …, 2023 - igi-global.com
The current lockouts, climatic variations, population expansion, and constraints on
convenience and natural resource access are some of the factors that are making the need …

An implementation of real-time traffic signs and road objects detection based on mobile GPU platforms

E Güney, C Bayilmiş, B Çakan - IEEE access, 2022 - ieeexplore.ieee.org
Thanks to the rapid development of computer vision and deep learning technologies,
advanced driver assistance systems (ADAS) have recently become widespread. These …

Traffic sign detection and recognition using fully convolutional network guided proposals

Y Zhu, C Zhang, D Zhou, X Wang, X Bai, W Liu - Neurocomputing, 2016 - Elsevier
Detecting and recognizing traffic signs is a hot topic in the field of computer vision with lots of
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …

Traffic sign recognition based on semantic scene understanding and structural traffic sign location

W Min, R Liu, D He, Q Han, Q Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic sign recognition (TSR) plays an important role in driving assistance system and traffic
safety insurance. However, existing methods focus on extracting features of traffic signs and …

[HTML][HTML] Improved traffic sign detection and recognition algorithm for intelligent vehicles

J Cao, C Song, S Peng, F **ao, S Song - Sensors, 2019 - mdpi.com
Traffic sign detection and recognition are crucial in the development of intelligent vehicles.
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …

Traffic sign detection and recognition based on random forests

A Ellahyani, M El Ansari, I El Jaafari - Applied Soft Computing, 2016 - Elsevier
In this paper we present a new traffic sign detection and recognition (TSDR) method, which
is achieved in three main steps. The first step segments the image based on thresholding of …

YOLO-SG: Small traffic signs detection method in complex scene

Y Han, F Wang, W Wang, X Li, J Zhang - The Journal of Supercomputing, 2024 - Springer
Fast and accurate detection of traffic signs is crucial for the development of intelligent
transportation systems. To address the issue of false detection and missing detection of …