Traffic sign detection and recognition in multiimages using a fusion model with YOLO and VGG network

J Yu, X Ye, Q Tu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
The detection and recognition of traffic signs is an important topic in intelligent transportation
systems. The automatic detection and recognition of traffic signs during driving is the basis …

Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling

C Dewi, RC Chen, H Yu, X Jiang - Journal of Ambient Intelligence and …, 2023 - Springer
An extraordinary challenge for real-world applications is traffic sign recognition, which plays
a crucial role in driver guidance. Traffic signals are very difficult to detect using an extremely …

Tsr-yolo: A chinese traffic sign recognition algorithm for intelligent vehicles in complex scenes

W Song, SA Suandi - Sensors, 2023 - mdpi.com
Recognizing traffic signs is an essential component of intelligent driving systems'
environment perception technology. In real-world applications, traffic sign recognition is …

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 …

Traffic sign recognition and classification using YOLOv2, faster RCNN and SSD

P Garg, DR Chowdhury, VN More - 2019 10th international …, 2019 - ieeexplore.ieee.org
In the walk of Advanced Driving Assistance Systems (ADAS), Intelligent Driving and Traffic
safety, Object detection plays a crucial role in the upcoming genesis of self-governing …

Traffic sign detection based on multi-scale feature extraction and cascade feature fusion

Y Zhang, Y Lu, W Zhu, X Wei, Z Wei - The Journal of Supercomputing, 2023 - Springer
Existing algorithms have difficulty in solving the two tasks of localization and classification
simultaneously when performing traffic sign detection on realistic images of complex traffic …

M-YOLO: Traffic sign detection algorithm applicable to complex scenarios

Y Liu, G Shi, Y Li, Z Zhao - Symmetry, 2022 - mdpi.com
Traffic signs can be seen everywhere in daily life. Traffic signs are symmetrical, and traffic
sign detection is easily affected by distortion, distance, light intensity and other factors, which …

[Retracted] Yolo‐Based Traffic Sign Recognition Algorithm

M Li, L Zhang, L Li, W Song - Computational intelligence and …, 2022 - Wiley Online Library
With the rapid development of intelligent transportation, more and more vehicles are
equipped with intelligent traffic sign recognition systems, which can reduce the potential …

A novel convolutional neural network based architecture for object detection and recognition with an application to traffic sign recognition from road scenes

R Karthika, L Parameswaran - Pattern Recognition and Image Analysis, 2022 - Springer
Object detection and recognition is a significant activity in computer vision applications.
Advanced driver assistance systems (ADAS) uses computer vision predominantly as its tool …

Study on detection and recognition of traffic lights based on improved YOLOv4

Y Zhao, Y Feng, Y Wang, Z Zhang, Z Zhang - Sensors, 2022 - mdpi.com
To resolve the issues of a deep backbone network, a large model, slow reasoning speed on
a mobile terminal, low detection accuracy for small targets and difficulties detecting and …