Results 271 to 280 of about 302,063 (326)

Improved Traffic Sign Detection Algorithm for YOLOv5s

International Conference Civil Engineering and Architecture, 2023
Traffic sign detection is an integral part of advanced assisted driving systems and intelligent transportation systems. Based on the TT100K dataset, this paper conducts a study on the improved YOLOv5s traffic sign detection algorithm. Firstly, to address
Xi Li, Shuqin Geng
semanticscholar   +1 more source

Improved Faster-RCNN Algorithm for Traffic Sign Detection

Scientific Insights and Discoveries Review
This article proposes an improved Faster-RCNN algorithm for detecting small traffic signs, which addresses the issues of poor recognition performance of distant small targets and high computation cost in real-world traffic scenes affected by weather and ...
Xuejun Li, Linfei Quan, Yingzhi Zhang, Chenyu Han   +3 more
semanticscholar   +1 more source

Indian Traffic Sign Detection and Classification Through a Unified Framework

IEEE transactions on intelligent transportation systems (Print)
Traffic sign boards are vital in facilitating smart transportation systems. More than 90% of accidents happen due to drivers’ inattentiveness over these boards.
Rishabh Uikey, H. Lone, Akshay Agarwal
semanticscholar   +1 more source

Real-time traffic sign detection and recognition

SPIE Proceedings, 2009
The continuous growth of imaging databases increasingly requires analysis tools for extraction of features. In this paper, a new architecture for the detection of traffic signs is proposed. The architecture is designed to process a large database with tens of millions of images with a resolution up to 4,800x2,400 pixels.
Herbschleb, E., With, de, P.H.N.
openaire   +1 more source

Detection of traffic signs in real-world images: The German traffic sign detection benchmark

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013
Real-time detection of traffic signs, the task of pinpointing a traffic sign's location in natural images, is a challenging computer vision task of high industrial relevance. Various algorithms have been proposed, and advanced driver assistance systems supporting detection and recognition of traffic signs have reached the market.
Houben, Sebastian, Stallkamp, Johannes, Salmen, Jan, Schlipsing, Marc, Igel, Christian   +4 more
openaire   +2 more sources

Transformer Fusion and Residual Learning Group Classifier Loss for Long-Tailed Traffic Sign Detection

IEEE Sensors Journal
Automatic traffic sign detection and recognition (ATDR) plays a crucial role as a submodule of the intelligent transportation system (ITS) and has gained significant attention in recent years.
Guanjie Zeng, Weiguo Huang, Yinjie Wang, Xiang Wang, W. E   +4 more
semanticscholar   +1 more source

Hole-based traffic sign detection method for traffic signs with red rim

The Visual Computer, 2013
A traffic sign detection method is proposed in this paper based on detecting the inner nonred region of prohibitory and danger signs. It consists of five steps: red pixel extraction, red hole extraction, hole region filtering, semicircle combination, and final decision. In the step of red pixel extraction, a new red bitmap extraction method considering
Gangyi Wang, Guanghui Ren, Lihui Jiang, Taifan Quan   +3 more
openaire   +1 more source

Traffic Sign Detection Problems using Convolutional Neural Techniques in Image Processing

IEEE International Symposium on Compound Semiconductors
Traffic sign detection is a critical component in advancing intelligent transportation systems and ensuring road safety. Convolutional Neural Networks (CNNs) have emerged as powerful tools in image processing and computer vision, demonstrating remarkable
A. Subhamathi, C. Sathiyapriyan, A. T, A. Jose Anand, Abdul Rheem, M. R. Arun   +5 more
semanticscholar   +1 more source

Research on Traffic Sign Detection Algorithm

Advanced Materials Research, 2014
As an important part of Advanced Driver Assistance System (ADAS), the traffic sign detection has been paid more and more attention. This paper studied and implemented a valid algorithm of traffic sign detection. Using K-means clustering algorithm to complete the image separation and extraction of prohibition signs from the RGB color image, and then ...
Mei Hua Xu, Yi Da Liu, Chen Jun Xia
openaire   +1 more source

A More Balanced Loss-Reweighting Method for Long-Tailed Traffic Sign Detection and Recognition

IEEE transactions on intelligent transportation systems (Print)
In recent years, the surge of artificial intelligence has propelled autonomous driving technology to the forefront, capturing growing interest and enthusiasm.
Yinjie Wang, Weiguo Huang, Jiajie Li, Guifu Du, Xiang Wang, E. Wenjuan, Juanjuan Shi   +6 more
semanticscholar   +1 more source