Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features
IEEE Access, 2020 Traffic sign detection is one of the critical technologies in the field of intelligent transportation systems (ITS). The difficulty of traffic sign detection mainly lies in detecting small objects in a wide and complex traffic scene quickly and ...
Lijing Wei +3 more
doaj +1 more source
A robust algorithm for detection and classification of traffic signs in video data [PDF]
, 2012 —The accurate identification and recognition of the traffic signs is a challenging problem as the developed systems have to address a large number of imaging problems such as motion artifacts, various weather conditions, shadows and partial occlusion ...
Bui, Thanh +3 more
core +1 more source
UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning
IEEE Access, 2023 Traffic sign detection plays an important role in traffic safety and traffic management. In view of the complex and changeable environment and detection accuracy of traffic sign detection, this paper proposes UCN-YOLOv5 model based on the framework of ...
Peilin Liu, Zhaoyang Xie, Taijun Li
doaj +1 more source
Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature
Sensors, 2015 Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages.
Shouyi Yin +4 more
doaj +1 more source
TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes
Sensors, 2023 Recognizing traffic signs is an essential component of intelligent driving systems’ environment perception technology. In real-world applications, traffic sign recognition is easily influenced by variables such as light intensity, extreme weather, and ...
Weizhen Song, Shahrel Azmin Suandi
doaj +1 more source
Multi-Feature Fusion and Enhancement Single Shot Detector for Traffic Sign Recognition
IEEE Access, 2020 Road traffic sign detection and recognition play an important role in advanced driver assistance systems (ADAS) by providing real-time road sign perception information.
Yanmei Jin +5 more
doaj +1 more source
Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
, 2018 We propose a novel traffic sign detection system that simultaneously estimates the location and precise boundary of traffic signs using convolutional neural network (CNN).
Kim, Kang, Lee, Hee Seok
core +1 more source
Traffic sign detection based on simple XOR and discriminative features [PDF]
, 2016 Traffic Sign Detection (TSD) is an important application in computer vision. It plays a crucial role in driver assistance systems, and provides drivers with safety and precaution information.
Madani, A., Yusof, R.
core +1 more source
Detection of U.S. Traffic Signs [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2015 This paper presents a comprehensive research study of the detection of U.S. traffic signs. Until now, the research in Traffic Sign Recognition systems has been centered on European traffic signs, but signs can look very different across different parts of the world, and a system that works well in Europe may indeed not work in the U.S.
Andreas Mogelmose +2 more
openaire +1 more source
Traffic Sign Detection and Recognition
International Journal of Innovative Science and Research Technology, 2020 As placement of traffic sign board do not follow any international standard, it may be difficultfor non-local residents to recognize and infer the signs easily. So, this project mainly focuses ondemonstrating a system that can help facilitate this inconvenience.
Anju C P +4 more
openaire +3 more sources