Improved traffic sign detection and recognition algorithm for intelligent vehicles

J Cao, C Song, S Peng, F Xiao, 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 …

DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements

WA Haque, S Arefin, ASM Shihavuddin… - Expert Systems with …, 2021 - Elsevier
For a safe and automated vehicle driving application, it is a prerequisite to have a robust and
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …

Towards real-time traffic sign detection and classification

Y Yang, H Luo, H Xu, F Wu - IEEE Transactions on Intelligent …, 2015 - ieeexplore.ieee.org
Traffic sign recognition plays an important role in driver assistant systems and intelligent
autonomous vehicles. Its real-time performance is highly desirable in addition to its …

Traffic sign detection and recognition based on convolutional neural network

Y Sun, P Ge, D Liu - 2019 Chinese automation congress (CAC), 2019 - ieeexplore.ieee.org
Traffic sign recognition system (TSRS) is a significant portion of intelligent transportation
system (ITS). Being able to identify traffic signs accurately and effectively can improve the …

Two‐stage traffic sign detection and recognition based on SVM and convolutional neural networks

A Hechri, A Mtibaa - IET Image Processing, 2020 - Wiley Online Library
Nowadays, traffic sign recognition is the most important task of advanced driver assistance
systems since it improves the safety and comfort of drivers. However, it remains a …

Real-time traffic sign recognition based on efficient CNNs in the wild

J Li, Z Wang - IEEE Transactions on Intelligent Transportation …, 2018 - ieeexplore.ieee.org
Both unmanned vehicles and driver assistance systems require solving the problem of traffic
sign recognition. A lot of work has been done in this area, but no approach has been …

Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4

N Youssouf - Heliyon, 2022 - cell.com
Autonomous driving cars are becoming popular everywhere and the need for a robust traffic
sign recognition system that ensures safety by recognizing traffic signs accurately and fast is …

RIECNN: real-time image enhanced CNN for traffic sign recognition

R Abdel-Salam, R Mostafa… - Neural Computing and …, 2022 - Springer
Traffic sign recognition plays a crucial role in the development of autonomous cars to reduce
the accident rate and promote road safety. It has been a necessity to address traffic signs …

A real-time traffic sign recognition method using a new attention-based deep convolutional neural network for smart vehicles

N Triki, M Karray, M Ksantini - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence (AI) in the automotive industry allows car manufacturers to produce
intelligent and autonomous vehicles through the integration of AI-powered Advanced Driver …

Transfer learning based traffic sign recognition using inception-v3 model

C Lin, L Li, W Luo, KCP Wang, J Guo - Periodica Polytechnica …, 2019 - pp.bme.hu
Traffic sign recognition is critical for advanced driver assistant system and road infrastructure
survey. Traditional traffic sign recognition algorithms can't efficiently recognize traffic signs …