Results 281 to 290 of about 302,063 (326)

An Improved YOLOv8 Model for Traffic Sign Detection and Classification

2024 3rd International Conference for Innovation in Technology (INOCON)
Intelligent transportation systems are aimed at improving the safety of roads and traffic management, making traffic sign detection a critical part of the system.
Arshleen Kaur, Vinay Kukreja, Nitin Thapliyal, Manisha Aeri, Rishabh Sharma, Shanmugasundaram Hariharan   +5 more
semanticscholar   +1 more source

MIAF-Net: A Multi-Information Attention Fusion Network for Field Traffic Sign Detection

IEEE Transactions on Instrumentation and Measurement
In complex field environments, traffic sign detection faces many challenges, such as the effects of light variations, occlusion, and sensor resolution, which can lead to a decrease in detection accuracy.
Yifan Zhao, Changhong Wang, Xin-yu Ouyang, Jiapeng Zhong, Nannan Zhao, Yuanwei Li   +5 more
semanticscholar   +1 more source

Traffic Sign Detection and Recognition System

2011
Detection and recognition steps are the key elements of a full traffic sign system. In this chapter, a complete description of a complete traffic sign system and how the component pieces are glued together are provided. Starting with the stereo acquisition module, data are fed into an attentional cascade detection algorithm.
Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva   +4 more
openaire   +1 more source

Traffic-Sign Detection and Classification in the Wild

Computer Vision and Pattern Recognition, 2016
Zhe Zhu, Dun Liang, Song-Hai Zhang, Xiaolei Huang, Baoli Li, Shimin Hu   +5 more
semanticscholar   +1 more source

Traffic Sign Detection and Classification

2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), 2023
Vinayak Sharma, Vimal Kumar, Harshvardhan Aditya   +2 more
openaire   +1 more source

Intelligent Traffic Sign Detection Using Yolov9

Proceeding of International Conference on Science, Health, And Technology
This research examines the automatic detection and classification of traffic signs using artificial intelligence (AI) and computer vision technologies. As urban traffic increases, quickly and accurately recognizing traffic signs becomes a challenge, especially under adverse conditions such as bad weather and limited visibility.
Afu Ichsan Pradana, Harsanto Harsanto, Joni Maulindar   +2 more
openaire   +1 more source

A performance comparison of YOLOv8 models for traffic sign detection in the Robotaxi-full scale autonomous vehicle competition

Multimedia tools and applications, 2023
Emel Soylu, Tuncay Soylu
semanticscholar   +1 more source

TSD-DETR: A lightweight real-time detection transformer of traffic sign detection for long-range perception of autonomous driving

Engineering applications of artificial intelligence
Lili Zhang, Kang Yang, Yucheng Han, Jing Li, Wei Wei, Hongxin Tan, Pei Yu, Ke Zhang, Xudong Yang   +8 more
semanticscholar   +1 more source

Uzbek traffic sign dataset for traffic sign detection and recognition systems

2022 International Conference on Information Science and Communications Technologies (ICISCT), 2022
Utkir Khamdamov, Mukhriddin Umarov, Jamshid Elov, Sirojiddin Khalilov, Inomjon Narzullayev   +4 more
openaire   +1 more source

LR-DETR: a lightweight real-time traffic sign detection model based on improved RT-DETR

Journal of Real-Time Image Processing
Longzhen Zhang, Mingyang Wang, Xianhao Zhao, Xianjie Wang   +3 more
semanticscholar   +1 more source